Overview

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Dataset statistics

Number of variables785
Number of observations6000
Missing cells0
Missing cells (%)0.0%
Total size in memory4.5 MiB
Average record size in memory793.0 B

Variable types

Numeric785

Alerts

0 has constant value "0" Constant
1 is highly skewed (γ1 = 64.3522609) Skewed
2 is highly skewed (γ1 = 55.00798092) Skewed
3 is highly skewed (γ1 = 32.88002526) Skewed
4 is highly skewed (γ1 = 28.94261005) Skewed
5 is highly skewed (γ1 = 21.66621048) Skewed
25 is highly skewed (γ1 = 24.13222177) Skewed
26 is highly skewed (γ1 = 42.53054136) Skewed
27 is highly skewed (γ1 = 61.23155163) Skewed
28 is highly skewed (γ1 = 77.17400331) Skewed
29 is highly skewed (γ1 = 61.08408598) Skewed
30 is highly skewed (γ1 = 51.60145404) Skewed
31 is highly skewed (γ1 = 28.75050084) Skewed
54 is highly skewed (γ1 = 22.97104081) Skewed
55 is highly skewed (γ1 = 41.81608921) Skewed
56 is highly skewed (γ1 = 77.27104731) Skewed
57 is highly skewed (γ1 = 60.57813263) Skewed
58 is highly skewed (γ1 = 30.90922381) Skewed
83 is highly skewed (γ1 = 22.23788242) Skewed
84 is highly skewed (γ1 = 67.82478) Skewed
85 is highly skewed (γ1 = 39.79897208) Skewed
112 is highly skewed (γ1 = 42.50015421) Skewed
140 is highly skewed (γ1 = 29.46849341) Skewed
168 is highly skewed (γ1 = 23.15929113) Skewed
728 is highly skewed (γ1 = 28.47564723) Skewed
756 is highly skewed (γ1 = 30.35397382) Skewed
757 is highly skewed (γ1 = 32.55085027) Skewed
783 is highly skewed (γ1 = 35.7877654) Skewed
0 has 6000 (100.0%) zeros Zeros
1 has 5990 (99.8%) zeros Zeros
2 has 5926 (98.8%) zeros Zeros
3 has 5849 (97.5%) zeros Zeros
4 has 5769 (96.2%) zeros Zeros
5 has 5681 (94.7%) zeros Zeros
6 has 5586 (93.1%) zeros Zeros
7 has 5364 (89.4%) zeros Zeros
8 has 5040 (84.0%) zeros Zeros
9 has 4520 (75.3%) zeros Zeros
10 has 3808 (63.5%) zeros Zeros
11 has 3289 (54.8%) zeros Zeros
12 has 3074 (51.2%) zeros Zeros
13 has 3123 (52.0%) zeros Zeros
14 has 3120 (52.0%) zeros Zeros
15 has 3045 (50.7%) zeros Zeros
16 has 3055 (50.9%) zeros Zeros
17 has 3528 (58.8%) zeros Zeros
18 has 4019 (67.0%) zeros Zeros
19 has 4627 (77.1%) zeros Zeros
20 has 5184 (86.4%) zeros Zeros
21 has 5483 (91.4%) zeros Zeros
22 has 5571 (92.8%) zeros Zeros
23 has 5688 (94.8%) zeros Zeros
24 has 5837 (97.3%) zeros Zeros
25 has 5924 (98.7%) zeros Zeros
26 has 5971 (99.5%) zeros Zeros
27 has 5994 (99.9%) zeros Zeros
28 has 5995 (99.9%) zeros Zeros
29 has 5983 (99.7%) zeros Zeros
30 has 5932 (98.9%) zeros Zeros
31 has 5708 (95.1%) zeros Zeros
32 has 5635 (93.9%) zeros Zeros
33 has 5538 (92.3%) zeros Zeros
34 has 5023 (83.7%) zeros Zeros
35 has 4576 (76.3%) zeros Zeros
36 has 4222 (70.4%) zeros Zeros
37 has 3552 (59.2%) zeros Zeros
38 has 2884 (48.1%) zeros Zeros
39 has 2403 (40.1%) zeros Zeros
40 has 2255 (37.6%) zeros Zeros
41 has 2264 (37.7%) zeros Zeros
42 has 2290 (38.2%) zeros Zeros
43 has 2236 (37.3%) zeros Zeros
44 has 2207 (36.8%) zeros Zeros
45 has 2547 (42.4%) zeros Zeros
46 has 3044 (50.7%) zeros Zeros
47 has 3668 (61.1%) zeros Zeros
48 has 4267 (71.1%) zeros Zeros
49 has 4700 (78.3%) zeros Zeros
50 has 5174 (86.2%) zeros Zeros
51 has 5528 (92.1%) zeros Zeros
52 has 5698 (95.0%) zeros Zeros
53 has 5861 (97.7%) zeros Zeros
54 has 5938 (99.0%) zeros Zeros
55 has 5980 (99.7%) zeros Zeros
56 has 5986 (99.8%) zeros Zeros
57 has 5970 (99.5%) zeros Zeros
58 has 5893 (98.2%) zeros Zeros
59 has 5719 (95.3%) zeros Zeros
60 has 5481 (91.3%) zeros Zeros
61 has 5096 (84.9%) zeros Zeros
62 has 4666 (77.8%) zeros Zeros
63 has 4181 (69.7%) zeros Zeros
64 has 3600 (60.0%) zeros Zeros
65 has 2766 (46.1%) zeros Zeros
66 has 2343 (39.1%) zeros Zeros
67 has 2180 (36.3%) zeros Zeros
68 has 2185 (36.4%) zeros Zeros
69 has 2194 (36.6%) zeros Zeros
70 has 2208 (36.8%) zeros Zeros
71 has 2158 (36.0%) zeros Zeros
72 has 2109 (35.1%) zeros Zeros
73 has 2153 (35.9%) zeros Zeros
74 has 2338 (39.0%) zeros Zeros
75 has 2878 (48.0%) zeros Zeros
76 has 3732 (62.2%) zeros Zeros
77 has 4289 (71.5%) zeros Zeros
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82 has 5868 (97.8%) zeros Zeros
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84 has 5963 (99.4%) zeros Zeros
85 has 5940 (99.0%) zeros Zeros
86 has 5805 (96.8%) zeros Zeros
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88 has 5295 (88.2%) zeros Zeros
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90 has 4228 (70.5%) zeros Zeros
91 has 3615 (60.2%) zeros Zeros
92 has 3132 (52.2%) zeros Zeros
93 has 2446 (40.8%) zeros Zeros
94 has 2189 (36.5%) zeros Zeros
95 has 2098 (35.0%) zeros Zeros
96 has 2080 (34.7%) zeros Zeros
97 has 2064 (34.4%) zeros Zeros
98 has 2049 (34.2%) zeros Zeros
99 has 1993 (33.2%) zeros Zeros
100 has 1975 (32.9%) zeros Zeros
101 has 1969 (32.8%) zeros Zeros
102 has 2050 (34.2%) zeros Zeros
103 has 2392 (39.9%) zeros Zeros
104 has 3110 (51.8%) zeros Zeros
105 has 3654 (60.9%) zeros Zeros
106 has 4292 (71.5%) zeros Zeros
107 has 4849 (80.8%) zeros Zeros
108 has 5315 (88.6%) zeros Zeros
109 has 5588 (93.1%) zeros Zeros
110 has 5788 (96.5%) zeros Zeros
111 has 5910 (98.5%) zeros Zeros
112 has 5957 (99.3%) zeros Zeros
113 has 5917 (98.6%) zeros Zeros
114 has 5798 (96.6%) zeros Zeros
115 has 5577 (93.0%) zeros Zeros
116 has 5095 (84.9%) zeros Zeros
117 has 4445 (74.1%) zeros Zeros
118 has 3813 (63.5%) zeros Zeros
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120 has 2929 (48.8%) zeros Zeros
121 has 2295 (38.2%) zeros Zeros
122 has 2079 (34.6%) zeros Zeros
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128 has 1774 (29.6%) zeros Zeros
129 has 1766 (29.4%) zeros Zeros
130 has 1808 (30.1%) zeros Zeros
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132 has 2758 (46.0%) zeros Zeros
133 has 3215 (53.6%) zeros Zeros
134 has 3740 (62.3%) zeros Zeros
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136 has 5055 (84.2%) zeros Zeros
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138 has 5638 (94.0%) zeros Zeros
139 has 5823 (97.0%) zeros Zeros
140 has 5925 (98.8%) zeros Zeros
141 has 5875 (97.9%) zeros Zeros
142 has 5765 (96.1%) zeros Zeros
143 has 5505 (91.8%) zeros Zeros
144 has 4900 (81.7%) zeros Zeros
145 has 4127 (68.8%) zeros Zeros
146 has 3581 (59.7%) zeros Zeros
147 has 3174 (52.9%) zeros Zeros
148 has 2749 (45.8%) zeros Zeros
149 has 2171 (36.2%) zeros Zeros
150 has 1981 (33.0%) zeros Zeros
151 has 1864 (31.1%) zeros Zeros
152 has 1841 (30.7%) zeros Zeros
153 has 1791 (29.8%) zeros Zeros
154 has 1716 (28.6%) zeros Zeros
155 has 1634 (27.2%) zeros Zeros
156 has 1522 (25.4%) zeros Zeros
157 has 1520 (25.3%) zeros Zeros
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159 has 1830 (30.5%) zeros Zeros
160 has 2418 (40.3%) zeros Zeros
161 has 2848 (47.5%) zeros Zeros
162 has 3313 (55.2%) zeros Zeros
163 has 3994 (66.6%) zeros Zeros
164 has 4785 (79.8%) zeros Zeros
165 has 5196 (86.6%) zeros Zeros
166 has 5475 (91.2%) zeros Zeros
167 has 5747 (95.8%) zeros Zeros
168 has 5903 (98.4%) zeros Zeros
169 has 5838 (97.3%) zeros Zeros
170 has 5716 (95.3%) zeros Zeros
171 has 5388 (89.8%) zeros Zeros
172 has 4730 (78.8%) zeros Zeros
173 has 3906 (65.1%) zeros Zeros
174 has 3421 (57.0%) zeros Zeros
175 has 3014 (50.2%) zeros Zeros
176 has 2653 (44.2%) zeros Zeros
177 has 2076 (34.6%) zeros Zeros
178 has 1884 (31.4%) zeros Zeros
179 has 1773 (29.5%) zeros Zeros
180 has 1746 (29.1%) zeros Zeros
181 has 1624 (27.1%) zeros Zeros
182 has 1553 (25.9%) zeros Zeros
183 has 1451 (24.2%) zeros Zeros
184 has 1327 (22.1%) zeros Zeros
185 has 1303 (21.7%) zeros Zeros
186 has 1357 (22.6%) zeros Zeros
187 has 1638 (27.3%) zeros Zeros
188 has 2189 (36.5%) zeros Zeros
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190 has 3024 (50.4%) zeros Zeros
191 has 3676 (61.3%) zeros Zeros
192 has 4494 (74.9%) zeros Zeros
193 has 4922 (82.0%) zeros Zeros
194 has 5287 (88.1%) zeros Zeros
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196 has 5860 (97.7%) zeros Zeros
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206 has 1784 (29.7%) zeros Zeros
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214 has 1149 (19.1%) zeros Zeros
215 has 1422 (23.7%) zeros Zeros
216 has 1917 (31.9%) zeros Zeros
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218 has 2696 (44.9%) zeros Zeros
219 has 3335 (55.6%) zeros Zeros
220 has 4161 (69.3%) zeros Zeros
221 has 4678 (78.0%) zeros Zeros
222 has 5106 (85.1%) zeros Zeros
223 has 5612 (93.5%) zeros Zeros
224 has 5851 (97.5%) zeros Zeros
225 has 5747 (95.8%) zeros Zeros
226 has 5571 (92.8%) zeros Zeros
227 has 5178 (86.3%) zeros Zeros
228 has 4451 (74.2%) zeros Zeros
229 has 3625 (60.4%) zeros Zeros
230 has 3222 (53.7%) zeros Zeros
231 has 2902 (48.4%) zeros Zeros
232 has 2464 (41.1%) zeros Zeros
233 has 1850 (30.8%) zeros Zeros
234 has 1677 (28.0%) zeros Zeros
235 has 1533 (25.6%) zeros Zeros
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244 has 1676 (27.9%) zeros Zeros
245 has 2042 (34.0%) zeros Zeros
246 has 2386 (39.8%) zeros Zeros
247 has 3033 (50.5%) zeros Zeros
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260 has 2415 (40.2%) zeros Zeros
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264 has 1377 (22.9%) zeros Zeros
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266 has 945 (15.8%) zeros Zeros
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272 has 1533 (25.6%) zeros Zeros
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274 has 2217 (37.0%) zeros Zeros
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280 has 5810 (96.8%) zeros Zeros
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335 has 5290 (88.2%) zeros Zeros
336 has 5488 (91.5%) zeros Zeros
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338 has 5220 (87.0%) zeros Zeros
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340 has 3750 (62.5%) zeros Zeros
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344 has 1897 (31.6%) zeros Zeros
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386 has 1879 (31.3%) zeros Zeros
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388 has 3065 (51.1%) zeros Zeros
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548 has 316 (5.3%) zeros Zeros
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550 has 533 (8.9%) zeros Zeros
551 has 969 (16.2%) zeros Zeros
552 has 1470 (24.5%) zeros Zeros
553 has 1928 (32.1%) zeros Zeros
554 has 2043 (34.1%) zeros Zeros
555 has 2245 (37.4%) zeros Zeros
556 has 3027 (50.4%) zeros Zeros
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558 has 4117 (68.6%) zeros Zeros
559 has 4847 (80.8%) zeros Zeros
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564 has 2939 (49.0%) zeros Zeros
565 has 2407 (40.1%) zeros Zeros
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571 has 561 (9.3%) zeros Zeros
572 has 577 (9.6%) zeros Zeros
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575 has 725 (12.1%) zeros Zeros
576 has 627 (10.4%) zeros Zeros
577 has 673 (11.2%) zeros Zeros
578 has 850 (14.2%) zeros Zeros
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580 has 1772 (29.5%) zeros Zeros
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585 has 3992 (66.5%) zeros Zeros
586 has 4419 (73.7%) zeros Zeros
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588 has 5366 (89.4%) zeros Zeros
589 has 5039 (84.0%) zeros Zeros
590 has 4764 (79.4%) zeros Zeros
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600 has 921 (15.3%) zeros Zeros
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608 has 2184 (36.4%) zeros Zeros
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610 has 2677 (44.6%) zeros Zeros
611 has 2855 (47.6%) zeros Zeros
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613 has 4368 (72.8%) zeros Zeros
614 has 4755 (79.2%) zeros Zeros
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616 has 5498 (91.6%) zeros Zeros
617 has 5209 (86.8%) zeros Zeros
618 has 4950 (82.5%) zeros Zeros
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620 has 3463 (57.7%) zeros Zeros
621 has 2980 (49.7%) zeros Zeros
622 has 2841 (47.3%) zeros Zeros
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624 has 1959 (32.6%) zeros Zeros
625 has 1539 (25.7%) zeros Zeros
626 has 1192 (19.9%) zeros Zeros
627 has 1128 (18.8%) zeros Zeros
628 has 1159 (19.3%) zeros Zeros
629 has 1423 (23.7%) zeros Zeros
630 has 1685 (28.1%) zeros Zeros
631 has 1424 (23.7%) zeros Zeros
632 has 1350 (22.5%) zeros Zeros
633 has 1442 (24.0%) zeros Zeros
634 has 1627 (27.1%) zeros Zeros
635 has 1974 (32.9%) zeros Zeros
636 has 2411 (40.2%) zeros Zeros
637 has 2793 (46.6%) zeros Zeros
638 has 2935 (48.9%) zeros Zeros
639 has 3096 (51.6%) zeros Zeros
640 has 3846 (64.1%) zeros Zeros
641 has 4588 (76.5%) zeros Zeros
642 has 4959 (82.7%) zeros Zeros
643 has 5490 (91.5%) zeros Zeros
644 has 5646 (94.1%) zeros Zeros
645 has 5402 (90.0%) zeros Zeros
646 has 5189 (86.5%) zeros Zeros
647 has 4642 (77.4%) zeros Zeros
648 has 3700 (61.7%) zeros Zeros
649 has 3285 (54.8%) zeros Zeros
650 has 3142 (52.4%) zeros Zeros
651 has 2820 (47.0%) zeros Zeros
652 has 2300 (38.3%) zeros Zeros
653 has 1836 (30.6%) zeros Zeros
654 has 1521 (25.4%) zeros Zeros
655 has 1448 (24.1%) zeros Zeros
656 has 1463 (24.4%) zeros Zeros
657 has 1722 (28.7%) zeros Zeros
658 has 1990 (33.2%) zeros Zeros
659 has 1787 (29.8%) zeros Zeros
660 has 1699 (28.3%) zeros Zeros
661 has 1740 (29.0%) zeros Zeros
662 has 1927 (32.1%) zeros Zeros
663 has 2297 (38.3%) zeros Zeros
664 has 2714 (45.2%) zeros Zeros
665 has 3098 (51.6%) zeros Zeros
666 has 3229 (53.8%) zeros Zeros
667 has 3371 (56.2%) zeros Zeros
668 has 4119 (68.7%) zeros Zeros
669 has 4856 (80.9%) zeros Zeros
670 has 5221 (87.0%) zeros Zeros
671 has 5655 (94.2%) zeros Zeros
672 has 5791 (96.5%) zeros Zeros
673 has 5610 (93.5%) zeros Zeros
674 has 5372 (89.5%) zeros Zeros
675 has 4864 (81.1%) zeros Zeros
676 has 3931 (65.5%) zeros Zeros
677 has 3502 (58.4%) zeros Zeros
678 has 3355 (55.9%) zeros Zeros
679 has 3096 (51.6%) zeros Zeros
680 has 2611 (43.5%) zeros Zeros
681 has 2178 (36.3%) zeros Zeros
682 has 1861 (31.0%) zeros Zeros
683 has 1753 (29.2%) zeros Zeros
684 has 1774 (29.6%) zeros Zeros
685 has 2042 (34.0%) zeros Zeros
686 has 2316 (38.6%) zeros Zeros
687 has 2120 (35.3%) zeros Zeros
688 has 1985 (33.1%) zeros Zeros
689 has 2005 (33.4%) zeros Zeros
690 has 2178 (36.3%) zeros Zeros
691 has 2584 (43.1%) zeros Zeros
692 has 3011 (50.2%) zeros Zeros
693 has 3324 (55.4%) zeros Zeros
694 has 3462 (57.7%) zeros Zeros
695 has 3602 (60.0%) zeros Zeros
696 has 4324 (72.1%) zeros Zeros
697 has 5065 (84.4%) zeros Zeros
698 has 5421 (90.3%) zeros Zeros
699 has 5772 (96.2%) zeros Zeros
700 has 5876 (97.9%) zeros Zeros
701 has 5763 (96.0%) zeros Zeros
702 has 5564 (92.7%) zeros Zeros
703 has 5047 (84.1%) zeros Zeros
704 has 4166 (69.4%) zeros Zeros
705 has 3771 (62.8%) zeros Zeros
706 has 3609 (60.2%) zeros Zeros
707 has 3485 (58.1%) zeros Zeros
708 has 3056 (50.9%) zeros Zeros
709 has 2570 (42.8%) zeros Zeros
710 has 2293 (38.2%) zeros Zeros
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712 has 2167 (36.1%) zeros Zeros
713 has 2416 (40.3%) zeros Zeros
714 has 2681 (44.7%) zeros Zeros
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716 has 2348 (39.1%) zeros Zeros
717 has 2356 (39.3%) zeros Zeros
718 has 2501 (41.7%) zeros Zeros
719 has 2934 (48.9%) zeros Zeros
720 has 3394 (56.6%) zeros Zeros
721 has 3601 (60.0%) zeros Zeros
722 has 3700 (61.7%) zeros Zeros
723 has 3851 (64.2%) zeros Zeros
724 has 4585 (76.4%) zeros Zeros
725 has 5323 (88.7%) zeros Zeros
726 has 5631 (93.8%) zeros Zeros
727 has 5859 (97.7%) zeros Zeros
728 has 5940 (99.0%) zeros Zeros
729 has 5868 (97.8%) zeros Zeros
730 has 5693 (94.9%) zeros Zeros
731 has 5247 (87.5%) zeros Zeros
732 has 4389 (73.2%) zeros Zeros
733 has 4037 (67.3%) zeros Zeros
734 has 3877 (64.6%) zeros Zeros
735 has 3867 (64.5%) zeros Zeros
736 has 3467 (57.8%) zeros Zeros
737 has 2910 (48.5%) zeros Zeros
738 has 2660 (44.3%) zeros Zeros
739 has 2532 (42.2%) zeros Zeros
740 has 2544 (42.4%) zeros Zeros
741 has 2757 (46.0%) zeros Zeros
742 has 3003 (50.0%) zeros Zeros
743 has 2810 (46.8%) zeros Zeros
744 has 2688 (44.8%) zeros Zeros
745 has 2666 (44.4%) zeros Zeros
746 has 2811 (46.9%) zeros Zeros
747 has 3245 (54.1%) zeros Zeros
748 has 3804 (63.4%) zeros Zeros
749 has 3891 (64.8%) zeros Zeros
750 has 3972 (66.2%) zeros Zeros
751 has 4125 (68.8%) zeros Zeros
752 has 4797 (80.0%) zeros Zeros
753 has 5505 (91.8%) zeros Zeros
754 has 5756 (95.9%) zeros Zeros
755 has 5924 (98.7%) zeros Zeros
756 has 5984 (99.7%) zeros Zeros
757 has 5938 (99.0%) zeros Zeros
758 has 5847 (97.5%) zeros Zeros
759 has 5535 (92.2%) zeros Zeros
760 has 4906 (81.8%) zeros Zeros
761 has 4569 (76.1%) zeros Zeros
762 has 4521 (75.3%) zeros Zeros
763 has 4636 (77.3%) zeros Zeros
764 has 4319 (72.0%) zeros Zeros
765 has 3712 (61.9%) zeros Zeros
766 has 3329 (55.5%) zeros Zeros
767 has 3080 (51.3%) zeros Zeros
768 has 3075 (51.2%) zeros Zeros
769 has 3295 (54.9%) zeros Zeros
770 has 3551 (59.2%) zeros Zeros
771 has 3346 (55.8%) zeros Zeros
772 has 3184 (53.1%) zeros Zeros
773 has 3215 (53.6%) zeros Zeros
774 has 3532 (58.9%) zeros Zeros
775 has 4160 (69.3%) zeros Zeros
776 has 4660 (77.7%) zeros Zeros
777 has 4593 (76.5%) zeros Zeros
778 has 4510 (75.2%) zeros Zeros
779 has 4637 (77.3%) zeros Zeros
780 has 5163 (86.1%) zeros Zeros
781 has 5705 (95.1%) zeros Zeros
782 has 5898 (98.3%) zeros Zeros
783 has 5978 (99.6%) zeros Zeros
label has 597 (10.0%) zeros Zeros

Reproduction

Analysis started2025-03-21 17:08:38.543549
Analysis finished2025-03-21 17:08:41.131154
Duration2.59 seconds
Software versionydata-profiling vv4.15.1
Download configurationconfig.json

Variables

0
Real number (ℝ)

Constant  Zeros 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros6000
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.172894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2025-03-21T22:38:41.211669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 6000
100.0%
ValueCountFrequency (%)
0 6000
100.0%
ValueCountFrequency (%)
0 6000
100.0%

1
Real number (ℝ)

Skewed  Zeros 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01016666667
Minimum0
Maximum36
Zeros5990
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.247250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5060691552
Coefficient of variation (CV)49.77729396
Kurtosis4393.767502
Mean0.01016666667
Median Absolute Deviation (MAD)0
Skewness64.3522609
Sum61
Variance0.2561059899
MonotonicityNot monotonic
2025-03-21T22:38:41.287166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 5990
99.8%
1 7
 
0.1%
3 1
 
< 0.1%
15 1
 
< 0.1%
36 1
 
< 0.1%
ValueCountFrequency (%)
0 5990
99.8%
1 7
 
0.1%
3 1
 
< 0.1%
15 1
 
< 0.1%
36 1
 
< 0.1%
ValueCountFrequency (%)
36 1
 
< 0.1%
15 1
 
< 0.1%
3 1
 
< 0.1%
1 7
 
0.1%
0 5990
99.8%

2
Real number (ℝ)

Skewed  Zeros 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031
Minimum0
Maximum52
Zeros5926
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.327701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum52
Range52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7849469347
Coefficient of variation (CV)25.32086886
Kurtosis3396.226969
Mean0.031
Median Absolute Deviation (MAD)0
Skewness55.00798092
Sum186
Variance0.6161416903
MonotonicityNot monotonic
2025-03-21T22:38:41.366051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 5926
98.8%
1 52
 
0.9%
2 15
 
0.2%
3 4
 
0.1%
25 1
 
< 0.1%
15 1
 
< 0.1%
52 1
 
< 0.1%
ValueCountFrequency (%)
0 5926
98.8%
1 52
 
0.9%
2 15
 
0.2%
3 4
 
0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
52 1
 
< 0.1%
25 1
 
< 0.1%
15 1
 
< 0.1%
3 4
 
0.1%
2 15
0.2%

3
Real number (ℝ)

Skewed  Zeros 

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07883333333
Minimum0
Maximum58
Zeros5849
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.481599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.332884617
Coefficient of variation (CV)16.90762728
Kurtosis1217.669941
Mean0.07883333333
Median Absolute Deviation (MAD)0
Skewness32.88002526
Sum473
Variance1.776581402
MonotonicityNot monotonic
2025-03-21T22:38:41.524529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 5849
97.5%
1 101
 
1.7%
2 25
 
0.4%
3 12
 
0.2%
4 2
 
< 0.1%
17 1
 
< 0.1%
52 1
 
< 0.1%
5 1
 
< 0.1%
58 1
 
< 0.1%
41 1
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0 5849
97.5%
1 101
 
1.7%
2 25
 
0.4%
3 12
 
0.2%
4 2
 
< 0.1%
ValueCountFrequency (%)
58 1
< 0.1%
52 1
< 0.1%
41 1
< 0.1%
34 1
< 0.1%
21 1
< 0.1%

4
Real number (ℝ)

Skewed  Zeros 

Distinct30
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2418333333
Minimum0
Maximum169
Zeros5769
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.574651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum169
Range169
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.996249697
Coefficient of variation (CV)16.52480922
Kurtosis990.6955603
Mean0.2418333333
Median Absolute Deviation (MAD)0
Skewness28.94261005
Sum1451
Variance15.97001164
MonotonicityNot monotonic
2025-03-21T22:38:41.627022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 5769
96.2%
1 144
 
2.4%
2 40
 
0.7%
3 16
 
0.3%
9 3
 
0.1%
4 2
 
< 0.1%
15 2
 
< 0.1%
17 2
 
< 0.1%
39 1
 
< 0.1%
148 1
 
< 0.1%
Other values (20) 20
 
0.3%
ValueCountFrequency (%)
0 5769
96.2%
1 144
 
2.4%
2 40
 
0.7%
3 16
 
0.3%
4 2
 
< 0.1%
ValueCountFrequency (%)
169 1
< 0.1%
148 1
< 0.1%
92 1
< 0.1%
84 1
< 0.1%
82 1
< 0.1%

5
Real number (ℝ)

Skewed  Zeros 

Distinct37
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3396666667
Minimum0
Maximum158
Zeros5681
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.680701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum158
Range158
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.26305706
Coefficient of variation (CV)12.55070773
Kurtosis565.1661986
Mean0.3396666667
Median Absolute Deviation (MAD)0
Skewness21.66621048
Sum2038
Variance18.1736555
MonotonicityNot monotonic
2025-03-21T22:38:41.737205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 5681
94.7%
1 160
 
2.7%
2 67
 
1.1%
3 30
 
0.5%
4 17
 
0.3%
5 7
 
0.1%
8 3
 
0.1%
36 2
 
< 0.1%
18 2
 
< 0.1%
20 2
 
< 0.1%
Other values (27) 29
 
0.5%
ValueCountFrequency (%)
0 5681
94.7%
1 160
 
2.7%
2 67
 
1.1%
3 30
 
0.5%
4 17
 
0.3%
ValueCountFrequency (%)
158 1
< 0.1%
109 1
< 0.1%
96 1
< 0.1%
94 1
< 0.1%
79 1
< 0.1%

6
Real number (ℝ)

Zeros 

Distinct59
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.739
Minimum0
Maximum182
Zeros5586
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.796511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum182
Range182
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.176010604
Coefficient of variation (CV)9.710433835
Kurtosis263.9569799
Mean0.739
Median Absolute Deviation (MAD)0
Skewness14.8920795
Sum4434
Variance51.49512819
MonotonicityNot monotonic
2025-03-21T22:38:41.858295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5586
93.1%
1 200
 
3.3%
2 69
 
1.1%
3 35
 
0.6%
4 16
 
0.3%
8 6
 
0.1%
5 5
 
0.1%
36 4
 
0.1%
6 4
 
0.1%
15 4
 
0.1%
Other values (49) 71
 
1.2%
ValueCountFrequency (%)
0 5586
93.1%
1 200
 
3.3%
2 69
 
1.1%
3 35
 
0.6%
4 16
 
0.3%
ValueCountFrequency (%)
182 1
< 0.1%
169 1
< 0.1%
164 1
< 0.1%
134 1
< 0.1%
108 1
< 0.1%

7
Real number (ℝ)

Zeros 

Distinct109
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.081
Minimum0
Maximum203
Zeros5364
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:41.924737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum203
Range203
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.49096389
Coefficient of variation (CV)6.482923542
Kurtosis88.92892543
Mean2.081
Median Absolute Deviation (MAD)0
Skewness8.829832948
Sum12486
Variance182.0061067
MonotonicityNot monotonic
2025-03-21T22:38:41.992400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5364
89.4%
1 238
 
4.0%
2 100
 
1.7%
3 54
 
0.9%
4 24
 
0.4%
6 14
 
0.2%
5 8
 
0.1%
7 8
 
0.1%
28 6
 
0.1%
10 6
 
0.1%
Other values (99) 178
 
3.0%
ValueCountFrequency (%)
0 5364
89.4%
1 238
 
4.0%
2 100
 
1.7%
3 54
 
0.9%
4 24
 
0.4%
ValueCountFrequency (%)
203 1
< 0.1%
194 2
< 0.1%
182 1
< 0.1%
176 1
< 0.1%
173 1
< 0.1%

8
Real number (ℝ)

Zeros 

Distinct169
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.690333333
Minimum0
Maximum224
Zeros5040
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:42.057050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile39
Maximum224
Range224
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.56416032
Coefficient of variation (CV)4.141086108
Kurtosis29.74511646
Mean5.690333333
Median Absolute Deviation (MAD)0
Skewness5.210704402
Sum34142
Variance555.2696515
MonotonicityNot monotonic
2025-03-21T22:38:42.117760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5040
84.0%
1 259
 
4.3%
2 102
 
1.7%
3 60
 
1.0%
4 21
 
0.4%
5 17
 
0.3%
6 16
 
0.3%
29 13
 
0.2%
8 11
 
0.2%
7 11
 
0.2%
Other values (159) 450
 
7.5%
ValueCountFrequency (%)
0 5040
84.0%
1 259
 
4.3%
2 102
 
1.7%
3 60
 
1.0%
4 21
 
0.4%
ValueCountFrequency (%)
224 1
< 0.1%
214 1
< 0.1%
212 2
< 0.1%
210 1
< 0.1%
205 1
< 0.1%

9
Real number (ℝ)

Zeros 

Distinct215
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.70383333
Minimum0
Maximum255
Zeros4520
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:42.178419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile108
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.81119474
Coefficient of variation (CV)2.639529016
Kurtosis9.814721184
Mean14.70383333
Median Absolute Deviation (MAD)0
Skewness3.117918825
Sum88223
Variance1506.308837
MonotonicityNot monotonic
2025-03-21T22:38:42.241731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4520
75.3%
1 158
 
2.6%
2 86
 
1.4%
3 47
 
0.8%
5 27
 
0.4%
4 27
 
0.4%
15 20
 
0.3%
14 19
 
0.3%
30 18
 
0.3%
6 18
 
0.3%
Other values (205) 1060
 
17.7%
ValueCountFrequency (%)
0 4520
75.3%
1 158
 
2.6%
2 86
 
1.4%
3 47
 
0.8%
4 27
 
0.4%
ValueCountFrequency (%)
255 2
< 0.1%
245 1
< 0.1%
239 1
< 0.1%
237 1
< 0.1%
234 1
< 0.1%

10
Real number (ℝ)

Zeros 

Distinct245
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.274
Minimum0
Maximum255
Zeros3808
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:42.305029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q351
95-th percentile167
Maximum255
Range255
Interquartile range (IQR)51

Descriptive statistics

Standard deviation57.86926126
Coefficient of variation (CV)1.739173567
Kurtosis1.624834342
Mean33.274
Median Absolute Deviation (MAD)0
Skewness1.664159765
Sum199644
Variance3348.851399
MonotonicityNot monotonic
2025-03-21T22:38:42.366787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3808
63.5%
1 64
 
1.1%
2 51
 
0.9%
3 44
 
0.7%
5 24
 
0.4%
85 21
 
0.4%
4 21
 
0.4%
126 18
 
0.3%
57 18
 
0.3%
48 17
 
0.3%
Other values (235) 1914
31.9%
ValueCountFrequency (%)
0 3808
63.5%
1 64
 
1.1%
2 51
 
0.9%
3 44
 
0.7%
4 21
 
0.4%
ValueCountFrequency (%)
255 3
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
250 2
< 0.1%
248 1
 
< 0.1%

11
Real number (ℝ)

Zeros 

Distinct244
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.99466667
Minimum0
Maximum255
Zeros3289
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:42.428326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q394
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)94

Descriptive statistics

Standard deviation67.03491318
Coefficient of variation (CV)1.426436614
Kurtosis0.03713592559
Mean46.99466667
Median Absolute Deviation (MAD)0
Skewness1.167851904
Sum281968
Variance4493.679585
MonotonicityNot monotonic
2025-03-21T22:38:42.493347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3289
54.8%
1 47
 
0.8%
2 28
 
0.5%
5 27
 
0.4%
90 25
 
0.4%
3 25
 
0.4%
49 24
 
0.4%
106 23
 
0.4%
4 23
 
0.4%
118 22
 
0.4%
Other values (234) 2467
41.1%
ValueCountFrequency (%)
0 3289
54.8%
1 47
 
0.8%
2 28
 
0.5%
3 25
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 5
0.1%
254 3
0.1%
251 1
 
< 0.1%
249 1
 
< 0.1%
248 1
 
< 0.1%

12
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.50616667
Minimum0
Maximum255
Zeros3074
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:42.557275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3105
95-th percentile192
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation68.64718519
Coefficient of variation (CV)1.307411863
Kurtosis-0.3627696033
Mean52.50616667
Median Absolute Deviation (MAD)0
Skewness0.9878624624
Sum315037
Variance4712.436035
MonotonicityNot monotonic
2025-03-21T22:38:42.736267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3074
51.2%
1 38
 
0.6%
104 29
 
0.5%
114 27
 
0.4%
113 26
 
0.4%
144 26
 
0.4%
88 25
 
0.4%
65 24
 
0.4%
107 24
 
0.4%
2 24
 
0.4%
Other values (239) 2683
44.7%
ValueCountFrequency (%)
0 3074
51.2%
1 38
 
0.6%
2 24
 
0.4%
3 17
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 4
0.1%
251 2
< 0.1%
249 2
< 0.1%
247 2
< 0.1%
246 1
 
< 0.1%

13
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.59883333
Minimum0
Maximum251
Zeros3123
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:42.798301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3104
95-th percentile191
Maximum251
Range251
Interquartile range (IQR)104

Descriptive statistics

Standard deviation68.34387839
Coefficient of variation (CV)1.324523714
Kurtosis-0.3332014782
Mean51.59883333
Median Absolute Deviation (MAD)0
Skewness1.00470549
Sum309593
Variance4670.885713
MonotonicityNot monotonic
2025-03-21T22:38:42.859689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3123
52.0%
1 37
 
0.6%
109 25
 
0.4%
103 25
 
0.4%
111 25
 
0.4%
3 24
 
0.4%
116 24
 
0.4%
107 24
 
0.4%
120 23
 
0.4%
2 23
 
0.4%
Other values (239) 2647
44.1%
ValueCountFrequency (%)
0 3123
52.0%
1 37
 
0.6%
2 23
 
0.4%
3 24
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
251 2
< 0.1%
250 1
< 0.1%
248 1
< 0.1%
247 1
< 0.1%
245 1
< 0.1%

14
Real number (ℝ)

Zeros 

Distinct248
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.187
Minimum0
Maximum255
Zeros3120
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:42.919802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3103
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation67.7904218
Coefficient of variation (CV)1.324367941
Kurtosis-0.3179382539
Mean51.187
Median Absolute Deviation (MAD)0
Skewness1.006878595
Sum307122
Variance4595.541288
MonotonicityNot monotonic
2025-03-21T22:38:42.981369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3120
52.0%
1 43
 
0.7%
2 30
 
0.5%
86 27
 
0.4%
102 26
 
0.4%
144 25
 
0.4%
135 25
 
0.4%
87 25
 
0.4%
104 24
 
0.4%
137 23
 
0.4%
Other values (238) 2632
43.9%
ValueCountFrequency (%)
0 3120
52.0%
1 43
 
0.7%
2 30
 
0.5%
3 17
 
0.3%
4 18
 
0.3%
ValueCountFrequency (%)
255 3
0.1%
254 2
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%

15
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.4015
Minimum0
Maximum255
Zeros3045
Zeros (%)50.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:43.045442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3108
95-th percentile193.05
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation69.60075916
Coefficient of variation (CV)1.279390443
Kurtosis-0.4508924646
Mean54.4015
Median Absolute Deviation (MAD)0
Skewness0.9385891659
Sum326409
Variance4844.265675
MonotonicityNot monotonic
2025-03-21T22:38:43.109140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3045
50.7%
1 33
 
0.5%
85 30
 
0.5%
121 27
 
0.4%
122 25
 
0.4%
103 24
 
0.4%
66 24
 
0.4%
2 23
 
0.4%
97 23
 
0.4%
127 23
 
0.4%
Other values (241) 2723
45.4%
ValueCountFrequency (%)
0 3045
50.7%
1 33
 
0.5%
2 23
 
0.4%
3 14
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 3
0.1%
254 2
< 0.1%
253 1
 
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%

16
Real number (ℝ)

Zeros 

Distinct250
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.018
Minimum0
Maximum255
Zeros3055
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:43.170066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3103
95-th percentile192
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation68.66118799
Coefficient of variation (CV)1.319950555
Kurtosis-0.2734358866
Mean52.018
Median Absolute Deviation (MAD)0
Skewness1.022965078
Sum312108
Variance4714.358736
MonotonicityNot monotonic
2025-03-21T22:38:43.232429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3055
50.9%
1 33
 
0.5%
99 29
 
0.5%
105 27
 
0.4%
120 26
 
0.4%
2 25
 
0.4%
3 23
 
0.4%
77 23
 
0.4%
112 22
 
0.4%
101 21
 
0.4%
Other values (240) 2716
45.3%
ValueCountFrequency (%)
0 3055
50.9%
1 33
 
0.5%
2 25
 
0.4%
3 23
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 4
0.1%
254 1
 
< 0.1%
250 1
 
< 0.1%
249 1
 
< 0.1%
248 3
0.1%

17
Real number (ℝ)

Zeros 

Distinct243
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.23366667
Minimum0
Maximum255
Zeros3528
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:43.294750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q379
95-th percentile178
Maximum255
Range255
Interquartile range (IQR)79

Descriptive statistics

Standard deviation62.99234403
Coefficient of variation (CV)1.527692032
Kurtosis0.4161967615
Mean41.23366667
Median Absolute Deviation (MAD)0
Skewness1.311969697
Sum247402
Variance3968.035406
MonotonicityNot monotonic
2025-03-21T22:38:43.358804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3528
58.8%
1 47
 
0.8%
3 26
 
0.4%
2 25
 
0.4%
121 22
 
0.4%
124 21
 
0.4%
49 20
 
0.3%
21 20
 
0.3%
126 19
 
0.3%
137 19
 
0.3%
Other values (233) 2253
37.5%
ValueCountFrequency (%)
0 3528
58.8%
1 47
 
0.8%
2 25
 
0.4%
3 26
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
253 1
< 0.1%
249 1
< 0.1%
247 1
< 0.1%
245 2
< 0.1%

18
Real number (ℝ)

Zeros 

Distinct235
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.278
Minimum0
Maximum255
Zeros4019
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:43.420865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321
95-th percentile153
Maximum255
Range255
Interquartile range (IQR)21

Descriptive statistics

Standard deviation52.07776299
Coefficient of variation (CV)1.98180086
Kurtosis3.230359875
Mean26.278
Median Absolute Deviation (MAD)0
Skewness2.043593097
Sum157668
Variance2712.093398
MonotonicityNot monotonic
2025-03-21T22:38:43.479833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4019
67.0%
1 114
 
1.9%
2 68
 
1.1%
3 55
 
0.9%
4 25
 
0.4%
15 20
 
0.3%
6 20
 
0.3%
8 20
 
0.3%
19 20
 
0.3%
5 19
 
0.3%
Other values (225) 1620
27.0%
ValueCountFrequency (%)
0 4019
67.0%
1 114
 
1.9%
2 68
 
1.1%
3 55
 
0.9%
4 25
 
0.4%
ValueCountFrequency (%)
255 4
0.1%
246 1
 
< 0.1%
245 1
 
< 0.1%
243 2
< 0.1%
242 1
 
< 0.1%

19
Real number (ℝ)

Zeros 

Distinct196
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.22566667
Minimum0
Maximum255
Zeros4627
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:43.539119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile83
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.09661623
Coefficient of variation (CV)3.138828721
Kurtosis15.17522949
Mean10.22566667
Median Absolute Deviation (MAD)0
Skewness3.818065773
Sum61354
Variance1030.192773
MonotonicityNot monotonic
2025-03-21T22:38:43.599855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4627
77.1%
1 243
 
4.0%
2 141
 
2.4%
3 77
 
1.3%
4 44
 
0.7%
5 30
 
0.5%
7 16
 
0.3%
8 16
 
0.3%
13 15
 
0.2%
36 14
 
0.2%
Other values (186) 777
 
13.0%
ValueCountFrequency (%)
0 4627
77.1%
1 243
 
4.0%
2 141
 
2.4%
3 77
 
1.3%
4 44
 
0.7%
ValueCountFrequency (%)
255 1
< 0.1%
251 1
< 0.1%
228 1
< 0.1%
225 1
< 0.1%
221 1
< 0.1%

20
Real number (ℝ)

Zeros 

Distinct155
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.177833333
Minimum0
Maximum226
Zeros5184
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:43.659366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18
Maximum226
Range226
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.85432071
Coefficient of variation (CV)4.991659324
Kurtosis46.61534634
Mean4.177833333
Median Absolute Deviation (MAD)0
Skewness6.495000118
Sum25067
Variance434.9026924
MonotonicityNot monotonic
2025-03-21T22:38:43.831471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5184
86.4%
1 257
 
4.3%
2 118
 
2.0%
3 52
 
0.9%
5 17
 
0.3%
4 15
 
0.2%
25 9
 
0.1%
18 8
 
0.1%
7 6
 
0.1%
51 6
 
0.1%
Other values (145) 328
 
5.5%
ValueCountFrequency (%)
0 5184
86.4%
1 257
 
4.3%
2 118
 
2.0%
3 52
 
0.9%
4 15
 
0.2%
ValueCountFrequency (%)
226 1
< 0.1%
222 1
< 0.1%
214 1
< 0.1%
211 1
< 0.1%
206 2
< 0.1%

21
Real number (ℝ)

Zeros 

Distinct109
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9685
Minimum0
Maximum255
Zeros5483
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:43.893575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.54083034
Coefficient of variation (CV)7.386756587
Kurtosis118.2128814
Mean1.9685
Median Absolute Deviation (MAD)0
Skewness10.10322389
Sum11811
Variance211.435747
MonotonicityNot monotonic
2025-03-21T22:38:43.957666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5483
91.4%
1 219
 
3.6%
2 70
 
1.2%
3 39
 
0.7%
4 16
 
0.3%
5 9
 
0.1%
12 5
 
0.1%
9 4
 
0.1%
25 4
 
0.1%
6 4
 
0.1%
Other values (99) 147
 
2.5%
ValueCountFrequency (%)
0 5483
91.4%
1 219
 
3.6%
2 70
 
1.2%
3 39
 
0.7%
4 16
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
242 1
< 0.1%
233 1
< 0.1%
226 1
< 0.1%
209 1
< 0.1%

22
Real number (ℝ)

Zeros 

Distinct81
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.169333333
Minimum0
Maximum233
Zeros5571
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.019367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.90790951
Coefficient of variation (CV)9.328314864
Kurtosis184.1358874
Mean1.169333333
Median Absolute Deviation (MAD)0
Skewness12.72254153
Sum7016
Variance118.98249
MonotonicityNot monotonic
2025-03-21T22:38:44.081114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5571
92.8%
1 227
 
3.8%
2 66
 
1.1%
3 22
 
0.4%
4 9
 
0.1%
5 6
 
0.1%
15 4
 
0.1%
6 3
 
0.1%
37 3
 
0.1%
7 3
 
0.1%
Other values (71) 86
 
1.4%
ValueCountFrequency (%)
0 5571
92.8%
1 227
 
3.8%
2 66
 
1.1%
3 22
 
0.4%
4 9
 
0.1%
ValueCountFrequency (%)
233 1
< 0.1%
209 1
< 0.1%
198 1
< 0.1%
187 1
< 0.1%
176 1
< 0.1%

23
Real number (ℝ)

Zeros 

Distinct57
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8545
Minimum0
Maximum232
Zeros5688
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.141063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum232
Range232
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.782379341
Coefficient of variation (CV)11.44807413
Kurtosis269.9860465
Mean0.8545
Median Absolute Deviation (MAD)0
Skewness15.50056389
Sum5127
Variance95.69494557
MonotonicityNot monotonic
2025-03-21T22:38:44.200849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5688
94.8%
1 180
 
3.0%
2 41
 
0.7%
3 10
 
0.2%
4 9
 
0.1%
8 5
 
0.1%
6 3
 
0.1%
102 3
 
0.1%
15 3
 
0.1%
27 2
 
< 0.1%
Other values (47) 56
 
0.9%
ValueCountFrequency (%)
0 5688
94.8%
1 180
 
3.0%
2 41
 
0.7%
3 10
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
232 1
< 0.1%
220 1
< 0.1%
203 1
< 0.1%
196 1
< 0.1%
188 1
< 0.1%

24
Real number (ℝ)

Zeros 

Distinct44
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5163333333
Minimum0
Maximum232
Zeros5837
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.257262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum232
Range232
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.466370671
Coefficient of variation (CV)14.46036928
Kurtosis416.3105899
Mean0.5163333333
Median Absolute Deviation (MAD)0
Skewness19.12441411
Sum3098
Variance55.746691
MonotonicityNot monotonic
2025-03-21T22:38:44.317190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 5837
97.3%
1 82
 
1.4%
2 26
 
0.4%
3 13
 
0.2%
4 2
 
< 0.1%
17 2
 
< 0.1%
47 1
 
< 0.1%
41 1
 
< 0.1%
125 1
 
< 0.1%
121 1
 
< 0.1%
Other values (34) 34
 
0.6%
ValueCountFrequency (%)
0 5837
97.3%
1 82
 
1.4%
2 26
 
0.4%
3 13
 
0.2%
4 2
 
< 0.1%
ValueCountFrequency (%)
232 1
< 0.1%
189 1
< 0.1%
158 1
< 0.1%
153 1
< 0.1%
149 1
< 0.1%

25
Real number (ℝ)

Skewed  Zeros 

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2926666667
Minimum0
Maximum197
Zeros5924
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.370263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum197
Range197
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.411243833
Coefficient of variation (CV)18.48944362
Kurtosis652.7735152
Mean0.2926666667
Median Absolute Deviation (MAD)0
Skewness24.13222177
Sum1756
Variance29.28155982
MonotonicityNot monotonic
2025-03-21T22:38:44.423627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 5924
98.7%
1 29
 
0.5%
2 10
 
0.2%
3 9
 
0.1%
117 1
 
< 0.1%
42 1
 
< 0.1%
6 1
 
< 0.1%
72 1
 
< 0.1%
9 1
 
< 0.1%
38 1
 
< 0.1%
Other values (22) 22
 
0.4%
ValueCountFrequency (%)
0 5924
98.7%
1 29
 
0.5%
2 10
 
0.2%
3 9
 
0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
197 1
< 0.1%
147 1
< 0.1%
141 1
< 0.1%
136 1
< 0.1%
117 1
< 0.1%

26
Real number (ℝ)

Skewed  Zeros 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1046666667
Minimum0
Maximum170
Zeros5971
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.469801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum170
Range170
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.356027718
Coefficient of variation (CV)32.06395909
Kurtosis1968.61009
Mean0.1046666667
Median Absolute Deviation (MAD)0
Skewness42.53054136
Sum628
Variance11.26292204
MonotonicityNot monotonic
2025-03-21T22:38:44.511810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 5971
99.5%
1 12
 
0.2%
2 5
 
0.1%
3 2
 
< 0.1%
157 1
 
< 0.1%
13 1
 
< 0.1%
53 1
 
< 0.1%
170 1
 
< 0.1%
21 1
 
< 0.1%
15 1
 
< 0.1%
Other values (4) 4
 
0.1%
ValueCountFrequency (%)
0 5971
99.5%
1 12
 
0.2%
2 5
 
0.1%
3 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
170 1
< 0.1%
157 1
< 0.1%
80 1
< 0.1%
57 1
< 0.1%
53 1
< 0.1%

27
Real number (ℝ)

Skewed  Zeros 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01266666667
Minimum0
Maximum45
Zeros5994
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.552514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6551674821
Coefficient of variation (CV)51.72374859
Kurtosis3959.545077
Mean0.01266666667
Median Absolute Deviation (MAD)0
Skewness61.23155163
Sum76
Variance0.4292444296
MonotonicityNot monotonic
2025-03-21T22:38:44.588856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5994
99.9%
1 2
 
< 0.1%
45 1
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
23 1
 
< 0.1%
ValueCountFrequency (%)
0 5994
99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
23 1
 
< 0.1%
ValueCountFrequency (%)
45 1
< 0.1%
23 1
< 0.1%
4 1
< 0.1%
2 1
< 0.1%
1 2
< 0.1%

28
Real number (ℝ)

Skewed  Zeros 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01883333333
Minimum0
Maximum105
Zeros5995
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.625967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum105
Range105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.357246843
Coefficient of variation (CV)72.06620404
Kurtosis5969.660457
Mean0.01883333333
Median Absolute Deviation (MAD)0
Skewness77.17400331
Sum113
Variance1.842118992
MonotonicityNot monotonic
2025-03-21T22:38:44.662773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5995
99.9%
1 3
 
0.1%
5 1
 
< 0.1%
105 1
 
< 0.1%
ValueCountFrequency (%)
0 5995
99.9%
1 3
 
0.1%
5 1
 
< 0.1%
105 1
 
< 0.1%
ValueCountFrequency (%)
105 1
 
< 0.1%
5 1
 
< 0.1%
1 3
 
0.1%
0 5995
99.9%

29
Real number (ℝ)

Skewed  Zeros 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0495
Minimum0
Maximum167
Zeros5983
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.698064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum167
Range167
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.432290229
Coefficient of variation (CV)49.13717633
Kurtosis3949.374541
Mean0.0495
Median Absolute Deviation (MAD)0
Skewness61.08408598
Sum297
Variance5.916035756
MonotonicityNot monotonic
2025-03-21T22:38:44.738957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 5983
99.7%
1 11
 
0.2%
5 1
 
< 0.1%
167 1
 
< 0.1%
15 1
 
< 0.1%
11 1
 
< 0.1%
3 1
 
< 0.1%
85 1
 
< 0.1%
ValueCountFrequency (%)
0 5983
99.7%
1 11
 
0.2%
3 1
 
< 0.1%
5 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
167 1
< 0.1%
85 1
< 0.1%
15 1
< 0.1%
11 1
< 0.1%
5 1
< 0.1%

30
Real number (ℝ)

Skewed  Zeros 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09033333333
Minimum0
Maximum195
Zeros5932
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.782364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum195
Range195
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.107375503
Coefficient of variation (CV)34.39899081
Kurtosis2918.733584
Mean0.09033333333
Median Absolute Deviation (MAD)0
Skewness51.60145404
Sum542
Variance9.655782519
MonotonicityNot monotonic
2025-03-21T22:38:44.826860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5932
98.9%
1 41
 
0.7%
2 10
 
0.2%
3 6
 
0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
11 1
 
< 0.1%
26 1
 
< 0.1%
81 1
 
< 0.1%
15 1
 
< 0.1%
Other values (3) 3
 
0.1%
ValueCountFrequency (%)
0 5932
98.9%
1 41
 
0.7%
2 10
 
0.2%
3 6
 
0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
195 1
< 0.1%
110 1
< 0.1%
81 1
< 0.1%
26 1
< 0.1%
15 1
< 0.1%

31
Real number (ℝ)

Skewed  Zeros 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3213333333
Minimum0
Maximum217
Zeros5708
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:44.874344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum217
Range217
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.01440829
Coefficient of variation (CV)18.71703825
Kurtosis879.1272803
Mean0.3213333333
Median Absolute Deviation (MAD)0
Skewness28.75050084
Sum1928
Variance36.17310707
MonotonicityNot monotonic
2025-03-21T22:38:44.921741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 5708
95.1%
1 170
 
2.8%
2 64
 
1.1%
3 24
 
0.4%
4 10
 
0.2%
5 3
 
0.1%
9 2
 
< 0.1%
34 1
 
< 0.1%
131 1
 
< 0.1%
188 1
 
< 0.1%
Other values (16) 16
 
0.3%
ValueCountFrequency (%)
0 5708
95.1%
1 170
 
2.8%
2 64
 
1.1%
3 24
 
0.4%
4 10
 
0.2%
ValueCountFrequency (%)
217 1
< 0.1%
192 1
< 0.1%
188 1
< 0.1%
178 1
< 0.1%
164 1
< 0.1%

32
Real number (ℝ)

Zeros 

Distinct46
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7315
Minimum0
Maximum255
Zeros5635
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.097590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.842453288
Coefficient of variation (CV)13.45516512
Kurtosis409.4832597
Mean0.7315
Median Absolute Deviation (MAD)0
Skewness19.26222916
Sum4389
Variance96.87388673
MonotonicityNot monotonic
2025-03-21T22:38:45.158880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 5635
93.9%
1 198
 
3.3%
2 78
 
1.3%
3 23
 
0.4%
4 7
 
0.1%
7 4
 
0.1%
17 3
 
0.1%
15 3
 
0.1%
6 3
 
0.1%
37 2
 
< 0.1%
Other values (36) 44
 
0.7%
ValueCountFrequency (%)
0 5635
93.9%
1 198
 
3.3%
2 78
 
1.3%
3 23
 
0.4%
4 7
 
0.1%
ValueCountFrequency (%)
255 2
< 0.1%
251 1
< 0.1%
228 1
< 0.1%
201 1
< 0.1%
199 1
< 0.1%

33
Real number (ℝ)

Zeros 

Distinct103
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.103166667
Minimum0
Maximum242
Zeros5538
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.221049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum242
Range242
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.49139074
Coefficient of variation (CV)7.365745658
Kurtosis109.5862783
Mean2.103166667
Median Absolute Deviation (MAD)0
Skewness9.791838034
Sum12619
Variance239.9831872
MonotonicityNot monotonic
2025-03-21T22:38:45.283427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5538
92.3%
1 170
 
2.8%
2 79
 
1.3%
4 17
 
0.3%
3 16
 
0.3%
5 11
 
0.2%
12 6
 
0.1%
6 5
 
0.1%
10 5
 
0.1%
11 4
 
0.1%
Other values (93) 149
 
2.5%
ValueCountFrequency (%)
0 5538
92.3%
1 170
 
2.8%
2 79
 
1.3%
3 16
 
0.3%
4 17
 
0.3%
ValueCountFrequency (%)
242 1
< 0.1%
239 1
< 0.1%
235 1
< 0.1%
232 1
< 0.1%
226 1
< 0.1%

34
Real number (ℝ)

Zeros 

Distinct198
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.500666667
Minimum0
Maximum255
Zeros5023
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.347312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile53.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.7523487
Coefficient of variation (CV)4.09994872
Kurtosis28.17862991
Mean7.500666667
Median Absolute Deviation (MAD)0
Skewness5.12098994
Sum45004
Variance945.7069507
MonotonicityNot monotonic
2025-03-21T22:38:45.408081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5023
83.7%
1 180
 
3.0%
2 124
 
2.1%
3 77
 
1.3%
4 38
 
0.6%
5 23
 
0.4%
7 19
 
0.3%
11 8
 
0.1%
6 8
 
0.1%
13 8
 
0.1%
Other values (188) 492
 
8.2%
ValueCountFrequency (%)
0 5023
83.7%
1 180
 
3.0%
2 124
 
2.1%
3 77
 
1.3%
4 38
 
0.6%
ValueCountFrequency (%)
255 6
0.1%
254 2
 
< 0.1%
252 3
0.1%
251 2
 
< 0.1%
246 1
 
< 0.1%

35
Real number (ℝ)

Zeros 

Distinct240
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.72283333
Minimum0
Maximum255
Zeros4576
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.468077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.65686242
Coefficient of variation (CV)2.745433617
Kurtosis8.613772332
Mean17.72283333
Median Absolute Deviation (MAD)0
Skewness3.043305444
Sum106337
Variance2367.49026
MonotonicityNot monotonic
2025-03-21T22:38:45.529184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4576
76.3%
1 167
 
2.8%
2 106
 
1.8%
3 63
 
1.1%
4 51
 
0.9%
6 20
 
0.3%
5 19
 
0.3%
7 14
 
0.2%
61 12
 
0.2%
255 12
 
0.2%
Other values (230) 960
 
16.0%
ValueCountFrequency (%)
0 4576
76.3%
1 167
 
2.8%
2 106
 
1.8%
3 63
 
1.1%
4 51
 
0.9%
ValueCountFrequency (%)
255 12
0.2%
254 2
 
< 0.1%
253 1
 
< 0.1%
251 2
 
< 0.1%
250 3
 
0.1%

36
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5055
Minimum0
Maximum255
Zeros4222
Zeros (%)70.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.591502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.25
95-th percentile203.05
Maximum255
Range255
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation66.44062283
Coefficient of variation (CV)2.043980952
Kurtosis2.60016885
Mean32.5055
Median Absolute Deviation (MAD)0
Skewness1.978105488
Sum195033
Variance4414.356362
MonotonicityNot monotonic
2025-03-21T22:38:45.653080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4222
70.4%
1 87
 
1.5%
2 61
 
1.0%
3 41
 
0.7%
255 40
 
0.7%
4 24
 
0.4%
5 20
 
0.3%
41 14
 
0.2%
6 13
 
0.2%
210 12
 
0.2%
Other values (246) 1466
 
24.4%
ValueCountFrequency (%)
0 4222
70.4%
1 87
 
1.5%
2 61
 
1.0%
3 41
 
0.7%
4 24
 
0.4%
ValueCountFrequency (%)
255 40
0.7%
254 8
 
0.1%
253 4
 
0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%

37
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.02066667
Minimum0
Maximum255
Zeros3552
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.714348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3106
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation82.85288975
Coefficient of variation (CV)1.533725792
Kurtosis-0.1054727949
Mean54.02066667
Median Absolute Deviation (MAD)0
Skewness1.209014976
Sum324124
Variance6864.60134
MonotonicityNot monotonic
2025-03-21T22:38:45.778542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3552
59.2%
255 83
 
1.4%
1 70
 
1.2%
2 44
 
0.7%
3 27
 
0.4%
4 25
 
0.4%
5 20
 
0.3%
243 18
 
0.3%
71 17
 
0.3%
133 16
 
0.3%
Other values (246) 2128
35.5%
ValueCountFrequency (%)
0 3552
59.2%
1 70
 
1.2%
2 44
 
0.7%
3 27
 
0.4%
4 25
 
0.4%
ValueCountFrequency (%)
255 83
1.4%
254 15
 
0.2%
253 10
 
0.2%
252 4
 
0.1%
251 9
 
0.1%

38
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.38466667
Minimum0
Maximum255
Zeros2884
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.840842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3182
95-th percentile249
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation96.36650239
Coefficient of variation (CV)1.184086712
Kurtosis-1.325751631
Mean81.38466667
Median Absolute Deviation (MAD)4
Skewness0.6061807965
Sum488308
Variance9286.502782
MonotonicityNot monotonic
2025-03-21T22:38:45.901974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2884
48.1%
255 195
 
3.2%
2 34
 
0.6%
3 32
 
0.5%
1 31
 
0.5%
254 26
 
0.4%
240 26
 
0.4%
201 25
 
0.4%
253 25
 
0.4%
236 24
 
0.4%
Other values (246) 2698
45.0%
ValueCountFrequency (%)
0 2884
48.1%
1 31
 
0.5%
2 34
 
0.6%
3 32
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
255 195
3.2%
254 26
 
0.4%
253 25
 
0.4%
252 15
 
0.2%
251 13
 
0.2%

39
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.6991667
Minimum0
Maximum255
Zeros2403
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:45.962444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median89
Q3204
95-th percentile252
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation99.7021017
Coefficient of variation (CV)0.9803630155
Kurtosis-1.650609941
Mean101.6991667
Median Absolute Deviation (MAD)89
Skewness0.2198585343
Sum610195
Variance9940.509084
MonotonicityNot monotonic
2025-03-21T22:38:46.024049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2403
40.1%
255 227
 
3.8%
228 39
 
0.7%
231 38
 
0.6%
222 37
 
0.6%
233 34
 
0.6%
244 33
 
0.5%
221 32
 
0.5%
243 31
 
0.5%
253 30
 
0.5%
Other values (245) 3096
51.6%
ValueCountFrequency (%)
0 2403
40.1%
1 23
 
0.4%
2 22
 
0.4%
3 12
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 227
3.8%
254 28
 
0.5%
253 30
 
0.5%
252 18
 
0.3%
251 25
 
0.4%

40
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.292
Minimum0
Maximum255
Zeros2255
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:46.086650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median127
Q3218
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)218

Descriptive statistics

Standard deviation102.8972127
Coefficient of variation (CV)0.9003010943
Kurtosis-1.723384201
Mean114.292
Median Absolute Deviation (MAD)116
Skewness0.0219082391
Sum685752
Variance10587.83638
MonotonicityNot monotonic
2025-03-21T22:38:46.147928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2255
37.6%
255 322
 
5.4%
225 47
 
0.8%
254 45
 
0.8%
233 42
 
0.7%
241 41
 
0.7%
253 41
 
0.7%
239 38
 
0.6%
230 38
 
0.6%
223 37
 
0.6%
Other values (244) 3094
51.6%
ValueCountFrequency (%)
0 2255
37.6%
1 17
 
0.3%
2 16
 
0.3%
3 8
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 322
5.4%
254 45
 
0.8%
253 41
 
0.7%
252 35
 
0.6%
251 29
 
0.5%

41
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.6415
Minimum0
Maximum255
Zeros2264
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:46.209569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median123
Q3217
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)217

Descriptive statistics

Standard deviation102.8063738
Coefficient of variation (CV)0.9126864774
Kurtosis-1.71398537
Mean112.6415
Median Absolute Deviation (MAD)120
Skewness0.05960772807
Sum675849
Variance10569.1505
MonotonicityNot monotonic
2025-03-21T22:38:46.397570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2264
37.7%
255 367
 
6.1%
254 56
 
0.9%
239 40
 
0.7%
226 40
 
0.7%
240 38
 
0.6%
236 36
 
0.6%
252 36
 
0.6%
222 36
 
0.6%
227 36
 
0.6%
Other values (244) 3051
50.8%
ValueCountFrequency (%)
0 2264
37.7%
1 23
 
0.4%
2 6
 
0.1%
3 6
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 367
6.1%
254 56
 
0.9%
253 30
 
0.5%
252 36
 
0.6%
251 27
 
0.4%

42
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.025
Minimum0
Maximum255
Zeros2290
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:46.456419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3214
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)214

Descriptive statistics

Standard deviation102.5242455
Coefficient of variation (CV)0.9234338706
Kurtosis-1.711052746
Mean111.025
Median Absolute Deviation (MAD)117
Skewness0.08419668339
Sum666150
Variance10511.22091
MonotonicityNot monotonic
2025-03-21T22:38:46.516142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2290
38.2%
255 369
 
6.2%
254 47
 
0.8%
237 42
 
0.7%
234 40
 
0.7%
236 39
 
0.7%
253 36
 
0.6%
241 36
 
0.6%
240 36
 
0.6%
207 35
 
0.6%
Other values (246) 3030
50.5%
ValueCountFrequency (%)
0 2290
38.2%
1 11
 
0.2%
2 7
 
0.1%
3 6
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 369
6.2%
254 47
 
0.8%
253 36
 
0.6%
252 24
 
0.4%
251 18
 
0.3%

43
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.0085
Minimum0
Maximum255
Zeros2236
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:46.576256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median130
Q3220
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)220

Descriptive statistics

Standard deviation103.5534966
Coefficient of variation (CV)0.8926371478
Kurtosis-1.724793304
Mean116.0085
Median Absolute Deviation (MAD)116
Skewness0.005131905984
Sum696051
Variance10723.32665
MonotonicityNot monotonic
2025-03-21T22:38:46.637109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2236
37.3%
255 381
 
6.3%
254 58
 
1.0%
252 46
 
0.8%
245 40
 
0.7%
236 40
 
0.7%
240 40
 
0.7%
238 38
 
0.6%
233 38
 
0.6%
225 38
 
0.6%
Other values (241) 3045
50.7%
ValueCountFrequency (%)
0 2236
37.3%
1 13
 
0.2%
2 8
 
0.1%
3 10
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 381
6.3%
254 58
 
1.0%
253 34
 
0.6%
252 46
 
0.8%
251 34
 
0.6%

44
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.0023333
Minimum0
Maximum255
Zeros2207
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:46.696094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median119
Q3213
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)213

Descriptive statistics

Standard deviation101.0205912
Coefficient of variation (CV)0.901950774
Kurtosis-1.690824085
Mean112.0023333
Median Absolute Deviation (MAD)118
Skewness0.05689611894
Sum672014
Variance10205.15985
MonotonicityNot monotonic
2025-03-21T22:38:46.756799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2207
36.8%
255 285
 
4.8%
254 55
 
0.9%
228 39
 
0.7%
226 37
 
0.6%
225 37
 
0.6%
249 36
 
0.6%
241 36
 
0.6%
230 35
 
0.6%
209 34
 
0.6%
Other values (245) 3199
53.3%
ValueCountFrequency (%)
0 2207
36.8%
1 15
 
0.2%
2 8
 
0.1%
3 10
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 285
4.8%
254 55
 
0.9%
253 31
 
0.5%
252 30
 
0.5%
251 31
 
0.5%

45
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.5545
Minimum0
Maximum255
Zeros2547
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:46.816136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median56
Q3194
95-th percentile248
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation97.47837898
Coefficient of variation (CV)1.053199779
Kurtosis-1.54864401
Mean92.5545
Median Absolute Deviation (MAD)56
Skewness0.3775062539
Sum555327
Variance9502.034369
MonotonicityNot monotonic
2025-03-21T22:38:46.876670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2547
42.4%
255 178
 
3.0%
225 39
 
0.7%
220 33
 
0.5%
227 31
 
0.5%
217 29
 
0.5%
221 28
 
0.5%
197 28
 
0.5%
228 28
 
0.5%
205 27
 
0.4%
Other values (246) 3032
50.5%
ValueCountFrequency (%)
0 2547
42.4%
1 25
 
0.4%
2 23
 
0.4%
3 24
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 178
3.0%
254 22
 
0.4%
253 17
 
0.3%
252 24
 
0.4%
251 12
 
0.2%

46
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.11216667
Minimum0
Maximum255
Zeros3044
Zeros (%)50.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:46.935827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3162
95-th percentile245
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation92.95926253
Coefficient of variation (CV)1.271460918
Kurtosis-1.067587763
Mean73.11216667
Median Absolute Deviation (MAD)0
Skewness0.77185475
Sum438673
Variance8641.424489
MonotonicityNot monotonic
2025-03-21T22:38:46.999562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3044
50.7%
255 175
 
2.9%
1 42
 
0.7%
3 32
 
0.5%
2 32
 
0.5%
232 25
 
0.4%
209 25
 
0.4%
4 24
 
0.4%
222 24
 
0.4%
228 23
 
0.4%
Other values (246) 2554
42.6%
ValueCountFrequency (%)
0 3044
50.7%
1 42
 
0.7%
2 32
 
0.5%
3 32
 
0.5%
4 24
 
0.4%
ValueCountFrequency (%)
255 175
2.9%
254 21
 
0.4%
253 19
 
0.3%
252 8
 
0.1%
251 6
 
0.1%

47
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.50516667
Minimum0
Maximum255
Zeros3668
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:47.063401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q371
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)71

Descriptive statistics

Standard deviation76.11291285
Coefficient of variation (CV)1.67262134
Kurtosis0.6946120328
Mean45.50516667
Median Absolute Deviation (MAD)0
Skewness1.4679401
Sum273031
Variance5793.175503
MonotonicityNot monotonic
2025-03-21T22:38:47.130435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3668
61.1%
1 81
 
1.4%
255 62
 
1.0%
2 59
 
1.0%
3 42
 
0.7%
4 30
 
0.5%
5 27
 
0.4%
7 18
 
0.3%
6 17
 
0.3%
170 17
 
0.3%
Other values (246) 1979
33.0%
ValueCountFrequency (%)
0 3668
61.1%
1 81
 
1.4%
2 59
 
1.0%
3 42
 
0.7%
4 30
 
0.5%
ValueCountFrequency (%)
255 62
1.0%
254 12
 
0.2%
253 10
 
0.2%
252 4
 
0.1%
251 4
 
0.1%

48
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.81883333
Minimum0
Maximum255
Zeros4267
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:47.196572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile183
Maximum255
Range255
Interquartile range (IQR)2

Descriptive statistics

Standard deviation58.88790744
Coefficient of variation (CV)2.280812099
Kurtosis4.518576373
Mean25.81883333
Median Absolute Deviation (MAD)0
Skewness2.368066667
Sum154913
Variance3467.785643
MonotonicityNot monotonic
2025-03-21T22:38:47.263830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4267
71.1%
1 145
 
2.4%
2 96
 
1.6%
3 68
 
1.1%
4 42
 
0.7%
255 29
 
0.5%
5 27
 
0.4%
6 15
 
0.2%
8 14
 
0.2%
23 14
 
0.2%
Other values (243) 1283
 
21.4%
ValueCountFrequency (%)
0 4267
71.1%
1 145
 
2.4%
2 96
 
1.6%
3 68
 
1.1%
4 42
 
0.7%
ValueCountFrequency (%)
255 29
0.5%
254 4
 
0.1%
253 4
 
0.1%
252 3
 
0.1%
251 3
 
0.1%

49
Real number (ℝ)

Zeros 

Distinct229
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.37483333
Minimum0
Maximum255
Zeros4700
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:47.327027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile111
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.87147452
Coefficient of variation (CV)3.205383832
Kurtosis13.77334605
Mean13.37483333
Median Absolute Deviation (MAD)0
Skewness3.726486223
Sum80249
Variance1837.963327
MonotonicityNot monotonic
2025-03-21T22:38:47.390193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4700
78.3%
1 194
 
3.2%
2 123
 
2.1%
3 90
 
1.5%
4 53
 
0.9%
5 38
 
0.6%
9 18
 
0.3%
6 16
 
0.3%
48 12
 
0.2%
255 11
 
0.2%
Other values (219) 745
 
12.4%
ValueCountFrequency (%)
0 4700
78.3%
1 194
 
3.2%
2 123
 
2.1%
3 90
 
1.5%
4 53
 
0.9%
ValueCountFrequency (%)
255 11
0.2%
254 1
 
< 0.1%
253 3
 
0.1%
251 2
 
< 0.1%
250 1
 
< 0.1%

50
Real number (ℝ)

Zeros 

Distinct184
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.971666667
Minimum0
Maximum255
Zeros5174
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:47.451083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.00442621
Coefficient of variation (CV)4.857006902
Kurtosis36.75037706
Mean5.971666667
Median Absolute Deviation (MAD)0
Skewness5.905473508
Sum35830
Variance841.25674
MonotonicityNot monotonic
2025-03-21T22:38:47.648470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5174
86.2%
1 222
 
3.7%
2 117
 
1.9%
3 59
 
1.0%
4 27
 
0.4%
5 15
 
0.2%
15 11
 
0.2%
7 10
 
0.2%
6 9
 
0.1%
14 8
 
0.1%
Other values (174) 348
 
5.8%
ValueCountFrequency (%)
0 5174
86.2%
1 222
 
3.7%
2 117
 
1.9%
3 59
 
1.0%
4 27
 
0.4%
ValueCountFrequency (%)
255 1
 
< 0.1%
254 3
0.1%
252 2
< 0.1%
250 1
 
< 0.1%
247 2
< 0.1%

51
Real number (ℝ)

Zeros 

Distinct125
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0825
Minimum0
Maximum255
Zeros5528
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:47.711690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.74378438
Coefficient of variation (CV)7.053944648
Kurtosis73.57987863
Mean3.0825
Median Absolute Deviation (MAD)0
Skewness8.367259595
Sum18495
Variance472.7921591
MonotonicityNot monotonic
2025-03-21T22:38:47.775128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5528
92.1%
1 176
 
2.9%
2 71
 
1.2%
3 28
 
0.5%
4 16
 
0.3%
5 5
 
0.1%
209 4
 
0.1%
8 4
 
0.1%
10 4
 
0.1%
18 4
 
0.1%
Other values (115) 160
 
2.7%
ValueCountFrequency (%)
0 5528
92.1%
1 176
 
2.9%
2 71
 
1.2%
3 28
 
0.5%
4 16
 
0.3%
ValueCountFrequency (%)
255 2
< 0.1%
251 1
< 0.1%
250 1
< 0.1%
246 2
< 0.1%
235 1
< 0.1%

52
Real number (ℝ)

Zeros 

Distinct92
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.993166667
Minimum0
Maximum255
Zeros5698
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:47.838612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.70262741
Coefficient of variation (CV)8.881659373
Kurtosis114.9336584
Mean1.993166667
Median Absolute Deviation (MAD)0
Skewness10.42137364
Sum11959
Variance313.3830171
MonotonicityNot monotonic
2025-03-21T22:38:47.904979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5698
95.0%
1 112
 
1.9%
2 58
 
1.0%
3 23
 
0.4%
4 5
 
0.1%
5 4
 
0.1%
44 3
 
0.1%
49 3
 
0.1%
37 2
 
< 0.1%
177 2
 
< 0.1%
Other values (82) 90
 
1.5%
ValueCountFrequency (%)
0 5698
95.0%
1 112
 
1.9%
2 58
 
1.0%
3 23
 
0.4%
4 5
 
0.1%
ValueCountFrequency (%)
255 2
< 0.1%
249 1
< 0.1%
242 1
< 0.1%
241 1
< 0.1%
239 1
< 0.1%

53
Real number (ℝ)

Zeros 

Distinct59
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.159
Minimum0
Maximum255
Zeros5861
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:47.967943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.51930154
Coefficient of variation (CV)11.66462601
Kurtosis192.9284216
Mean1.159
Median Absolute Deviation (MAD)0
Skewness13.49339886
Sum6954
Variance182.7715143
MonotonicityNot monotonic
2025-03-21T22:38:48.030753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5861
97.7%
1 53
 
0.9%
2 14
 
0.2%
3 8
 
0.1%
57 2
 
< 0.1%
165 2
 
< 0.1%
12 2
 
< 0.1%
5 2
 
< 0.1%
48 2
 
< 0.1%
87 2
 
< 0.1%
Other values (49) 52
 
0.9%
ValueCountFrequency (%)
0 5861
97.7%
1 53
 
0.9%
2 14
 
0.2%
3 8
 
0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
255 1
< 0.1%
237 1
< 0.1%
235 1
< 0.1%
229 1
< 0.1%
226 1
< 0.1%

54
Real number (ℝ)

Skewed  Zeros 

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4435
Minimum0
Maximum244
Zeros5938
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.087018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum244
Range244
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.263182667
Coefficient of variation (CV)18.63175348
Kurtosis569.5857696
Mean0.4435
Median Absolute Deviation (MAD)0
Skewness22.97104081
Sum2661
Variance68.28018778
MonotonicityNot monotonic
2025-03-21T22:38:48.140155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 5938
99.0%
1 16
 
0.3%
2 11
 
0.2%
3 3
 
0.1%
39 3
 
0.1%
5 2
 
< 0.1%
14 2
 
< 0.1%
4 2
 
< 0.1%
75 1
 
< 0.1%
7 1
 
< 0.1%
Other values (21) 21
 
0.4%
ValueCountFrequency (%)
0 5938
99.0%
1 16
 
0.3%
2 11
 
0.2%
3 3
 
0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
244 1
< 0.1%
237 1
< 0.1%
215 1
< 0.1%
212 1
< 0.1%
206 1
< 0.1%

55
Real number (ℝ)

Skewed  Zeros 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09983333333
Minimum0
Maximum160
Zeros5980
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.188608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum160
Range160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.274139068
Coefficient of variation (CV)32.79605076
Kurtosis1866.097689
Mean0.09983333333
Median Absolute Deviation (MAD)0
Skewness41.81608921
Sum599
Variance10.71998664
MonotonicityNot monotonic
2025-03-21T22:38:48.235080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 5980
99.7%
1 5
 
0.1%
4 2
 
< 0.1%
3 2
 
< 0.1%
15 2
 
< 0.1%
150 1
 
< 0.1%
31 1
 
< 0.1%
11 1
 
< 0.1%
41 1
 
< 0.1%
2 1
 
< 0.1%
Other values (4) 4
 
0.1%
ValueCountFrequency (%)
0 5980
99.7%
1 5
 
0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
160 1
< 0.1%
150 1
< 0.1%
105 1
< 0.1%
44 1
< 0.1%
41 1
< 0.1%

56
Real number (ℝ)

Skewed  Zeros 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03833333333
Minimum0
Maximum206
Zeros5986
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.276198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum206
Range206
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.661586851
Coefficient of variation (CV)69.43270045
Kurtosis5980.271665
Mean0.03833333333
Median Absolute Deviation (MAD)0
Skewness77.27104731
Sum230
Variance7.084044563
MonotonicityNot monotonic
2025-03-21T22:38:48.317715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 5986
99.8%
1 8
 
0.1%
2 3
 
0.1%
5 2
 
< 0.1%
206 1
 
< 0.1%
ValueCountFrequency (%)
0 5986
99.8%
1 8
 
0.1%
2 3
 
0.1%
5 2
 
< 0.1%
206 1
 
< 0.1%
ValueCountFrequency (%)
206 1
 
< 0.1%
5 2
 
< 0.1%
2 3
 
0.1%
1 8
 
0.1%
0 5986
99.8%

57
Real number (ℝ)

Skewed  Zeros 

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09066666667
Minimum0
Maximum255
Zeros5970
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.356428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.640602773
Coefficient of variation (CV)40.15370706
Kurtosis4074.244966
Mean0.09066666667
Median Absolute Deviation (MAD)0
Skewness60.57813263
Sum544
Variance13.25398855
MonotonicityNot monotonic
2025-03-21T22:38:48.398351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 5970
99.5%
1 16
 
0.3%
2 4
 
0.1%
5 2
 
< 0.1%
3 1
 
< 0.1%
13 1
 
< 0.1%
255 1
 
< 0.1%
84 1
 
< 0.1%
33 1
 
< 0.1%
15 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 5970
99.5%
1 16
 
0.3%
2 4
 
0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
255 1
< 0.1%
84 1
< 0.1%
63 1
< 0.1%
44 1
< 0.1%
33 1
< 0.1%

58
Real number (ℝ)

Skewed  Zeros 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2663333333
Minimum0
Maximum255
Zeros5893
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.444101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.67169239
Coefficient of variation (CV)21.2954658
Kurtosis1092.937365
Mean0.2663333333
Median Absolute Deviation (MAD)0
Skewness30.90922381
Sum1598
Variance32.16809457
MonotonicityNot monotonic
2025-03-21T22:38:48.495593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 5893
98.2%
1 49
 
0.8%
2 17
 
0.3%
5 9
 
0.1%
3 8
 
0.1%
4 4
 
0.1%
31 2
 
< 0.1%
6 2
 
< 0.1%
13 1
 
< 0.1%
37 1
 
< 0.1%
Other values (14) 14
 
0.2%
ValueCountFrequency (%)
0 5893
98.2%
1 49
 
0.8%
2 17
 
0.3%
3 8
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 1
< 0.1%
175 1
< 0.1%
170 1
< 0.1%
146 1
< 0.1%
114 1
< 0.1%

59
Real number (ℝ)

Zeros 

Distinct45
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7725
Minimum0
Maximum235
Zeros5719
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.550941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum235
Range235
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.948445725
Coefficient of variation (CV)12.87824689
Kurtosis305.1460168
Mean0.7725
Median Absolute Deviation (MAD)0
Skewness16.82116329
Sum4635
Variance98.97157235
MonotonicityNot monotonic
2025-03-21T22:38:48.611834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 5719
95.3%
1 117
 
1.9%
2 55
 
0.9%
3 26
 
0.4%
4 21
 
0.4%
5 12
 
0.2%
6 7
 
0.1%
122 2
 
< 0.1%
9 2
 
< 0.1%
55 2
 
< 0.1%
Other values (35) 37
 
0.6%
ValueCountFrequency (%)
0 5719
95.3%
1 117
 
1.9%
2 55
 
0.9%
3 26
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
235 1
< 0.1%
222 1
< 0.1%
210 1
< 0.1%
200 1
< 0.1%
193 1
< 0.1%

60
Real number (ℝ)

Zeros 

Distinct110
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2195
Minimum0
Maximum255
Zeros5481
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.678280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.07575035
Coefficient of variation (CV)7.693512209
Kurtosis113.9347541
Mean2.2195
Median Absolute Deviation (MAD)0
Skewness10.19165144
Sum13317
Variance291.58125
MonotonicityNot monotonic
2025-03-21T22:38:48.861465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5481
91.3%
1 196
 
3.3%
2 90
 
1.5%
3 34
 
0.6%
4 22
 
0.4%
5 10
 
0.2%
15 8
 
0.1%
9 6
 
0.1%
29 4
 
0.1%
10 4
 
0.1%
Other values (100) 145
 
2.4%
ValueCountFrequency (%)
0 5481
91.3%
1 196
 
3.3%
2 90
 
1.5%
3 34
 
0.6%
4 22
 
0.4%
ValueCountFrequency (%)
255 1
< 0.1%
249 1
< 0.1%
245 1
< 0.1%
243 1
< 0.1%
237 1
< 0.1%

61
Real number (ℝ)

Zeros 

Distinct226
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.723
Minimum0
Maximum255
Zeros5096
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:48.921675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile82
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.14406364
Coefficient of variation (CV)3.717377727
Kurtosis18.76664517
Mean9.723
Median Absolute Deviation (MAD)0
Skewness4.300872589
Sum58338
Variance1306.393337
MonotonicityNot monotonic
2025-03-21T22:38:48.986109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5096
84.9%
1 169
 
2.8%
2 76
 
1.3%
3 34
 
0.6%
4 15
 
0.2%
5 12
 
0.2%
16 10
 
0.2%
7 9
 
0.1%
38 8
 
0.1%
18 8
 
0.1%
Other values (216) 563
 
9.4%
ValueCountFrequency (%)
0 5096
84.9%
1 169
 
2.8%
2 76
 
1.3%
3 34
 
0.6%
4 15
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
254 1
< 0.1%
251 1
< 0.1%
250 1
< 0.1%
249 1
< 0.1%

62
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.294
Minimum0
Maximum255
Zeros4666
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.050537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile183
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.54815255
Coefficient of variation (CV)2.470513976
Kurtosis4.966049832
Mean23.294
Median Absolute Deviation (MAD)0
Skewness2.485562367
Sum139764
Variance3311.789862
MonotonicityNot monotonic
2025-03-21T22:38:49.115489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4666
77.8%
1 108
 
1.8%
2 58
 
1.0%
3 27
 
0.4%
4 24
 
0.4%
5 13
 
0.2%
6 13
 
0.2%
255 10
 
0.2%
56 9
 
0.1%
89 9
 
0.1%
Other values (239) 1063
 
17.7%
ValueCountFrequency (%)
0 4666
77.8%
1 108
 
1.8%
2 58
 
1.0%
3 27
 
0.4%
4 24
 
0.4%
ValueCountFrequency (%)
255 10
0.2%
254 1
 
< 0.1%
252 3
 
0.1%
251 4
 
0.1%
250 2
 
< 0.1%

63
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.55466667
Minimum0
Maximum255
Zeros4181
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.178146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile211
Maximum255
Range255
Interquartile range (IQR)14

Descriptive statistics

Standard deviation70.20001675
Coefficient of variation (CV)1.974424832
Kurtosis1.802498161
Mean35.55466667
Median Absolute Deviation (MAD)0
Skewness1.810513941
Sum213328
Variance4928.042352
MonotonicityNot monotonic
2025-03-21T22:38:49.241604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4181
69.7%
1 85
 
1.4%
2 62
 
1.0%
3 50
 
0.8%
4 32
 
0.5%
6 21
 
0.4%
5 20
 
0.3%
255 19
 
0.3%
157 14
 
0.2%
76 13
 
0.2%
Other values (245) 1503
 
25.1%
ValueCountFrequency (%)
0 4181
69.7%
1 85
 
1.4%
2 62
 
1.0%
3 50
 
0.8%
4 32
 
0.5%
ValueCountFrequency (%)
255 19
0.3%
254 3
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 5
 
0.1%

64
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.23716667
Minimum0
Maximum255
Zeros3600
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.303834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q391
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)91

Descriptive statistics

Standard deviation79.59134825
Coefficient of variation (CV)1.584312045
Kurtosis0.06758387441
Mean50.23716667
Median Absolute Deviation (MAD)0
Skewness1.284775438
Sum301423
Variance6334.782716
MonotonicityNot monotonic
2025-03-21T22:38:49.367044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3600
60.0%
1 62
 
1.0%
2 37
 
0.6%
3 35
 
0.6%
4 34
 
0.6%
255 22
 
0.4%
5 19
 
0.3%
222 18
 
0.3%
10 17
 
0.3%
198 17
 
0.3%
Other values (246) 2139
35.6%
ValueCountFrequency (%)
0 3600
60.0%
1 62
 
1.0%
2 37
 
0.6%
3 35
 
0.6%
4 34
 
0.6%
ValueCountFrequency (%)
255 22
0.4%
254 4
 
0.1%
253 3
 
0.1%
252 2
 
< 0.1%
251 3
 
0.1%

65
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.1935
Minimum0
Maximum255
Zeros2766
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.429815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q3151
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)151

Descriptive statistics

Standard deviation86.72060963
Coefficient of variation (CV)1.20122462
Kurtosis-1.047208009
Mean72.1935
Median Absolute Deviation (MAD)14
Skewness0.7298794118
Sum433161
Variance7520.464135
MonotonicityNot monotonic
2025-03-21T22:38:49.495710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2766
46.1%
1 48
 
0.8%
255 35
 
0.6%
3 29
 
0.5%
2 28
 
0.5%
198 27
 
0.4%
226 23
 
0.4%
228 23
 
0.4%
204 23
 
0.4%
4 22
 
0.4%
Other values (246) 2976
49.6%
ValueCountFrequency (%)
0 2766
46.1%
1 48
 
0.8%
2 28
 
0.5%
3 29
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
255 35
0.6%
254 10
 
0.2%
253 9
 
0.1%
252 7
 
0.1%
251 9
 
0.1%

66
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.52233333
Minimum0
Maximum255
Zeros2343
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.557476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3192
95-th percentile238.05
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation94.52357176
Coefficient of variation (CV)0.9895442088
Kurtosis-1.587204674
Mean95.52233333
Median Absolute Deviation (MAD)80
Skewness0.2729445681
Sum573134
Variance8934.705619
MonotonicityNot monotonic
2025-03-21T22:38:49.618185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2343
39.1%
255 78
 
1.3%
228 40
 
0.7%
1 39
 
0.7%
229 38
 
0.6%
225 34
 
0.6%
210 33
 
0.5%
214 33
 
0.5%
227 32
 
0.5%
199 31
 
0.5%
Other values (246) 3299
55.0%
ValueCountFrequency (%)
0 2343
39.1%
1 39
 
0.7%
2 28
 
0.5%
3 21
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
255 78
1.3%
254 13
 
0.2%
253 15
 
0.2%
252 8
 
0.1%
251 10
 
0.2%

67
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.348
Minimum0
Maximum255
Zeros2180
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.678428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median105
Q3199
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation94.69924263
Coefficient of variation (CV)0.916314226
Kurtosis-1.673876891
Mean103.348
Median Absolute Deviation (MAD)105
Skewness0.1001759234
Sum620088
Variance8967.946554
MonotonicityNot monotonic
2025-03-21T22:38:49.740322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2180
36.3%
225 44
 
0.7%
214 43
 
0.7%
227 43
 
0.7%
208 43
 
0.7%
212 42
 
0.7%
255 42
 
0.7%
221 41
 
0.7%
209 40
 
0.7%
215 39
 
0.7%
Other values (246) 3443
57.4%
ValueCountFrequency (%)
0 2180
36.3%
1 37
 
0.6%
2 12
 
0.2%
3 14
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 42
0.7%
254 11
 
0.2%
253 10
 
0.2%
252 14
 
0.2%
251 10
 
0.2%

68
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.6108333
Minimum0
Maximum255
Zeros2185
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.800228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3203
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation95.87365128
Coefficient of variation (CV)0.8992862008
Kurtosis-1.70027562
Mean106.6108333
Median Absolute Deviation (MAD)109
Skewness0.04297649435
Sum639665
Variance9191.757009
MonotonicityNot monotonic
2025-03-21T22:38:49.859595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2185
36.4%
220 59
 
1.0%
255 49
 
0.8%
225 45
 
0.8%
214 43
 
0.7%
232 43
 
0.7%
223 43
 
0.7%
222 42
 
0.7%
208 41
 
0.7%
224 41
 
0.7%
Other values (245) 3409
56.8%
ValueCountFrequency (%)
0 2185
36.4%
1 31
 
0.5%
2 8
 
0.1%
3 8
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 49
0.8%
254 9
 
0.1%
253 7
 
0.1%
252 5
 
0.1%
251 10
 
0.2%

69
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.6836667
Minimum0
Maximum255
Zeros2194
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:49.919340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation96.80661575
Coefficient of variation (CV)0.8989907081
Kurtosis-1.706434395
Mean107.6836667
Median Absolute Deviation (MAD)107
Skewness0.02972213144
Sum646102
Variance9371.520853
MonotonicityNot monotonic
2025-03-21T22:38:50.118659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2194
36.6%
255 69
 
1.1%
226 51
 
0.9%
227 47
 
0.8%
225 44
 
0.7%
213 43
 
0.7%
215 42
 
0.7%
204 42
 
0.7%
1 42
 
0.7%
223 42
 
0.7%
Other values (244) 3384
56.4%
ValueCountFrequency (%)
0 2194
36.6%
1 42
 
0.7%
2 18
 
0.3%
3 14
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 69
1.1%
254 16
 
0.3%
253 10
 
0.2%
252 7
 
0.1%
251 9
 
0.1%

70
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.703
Minimum0
Maximum255
Zeros2208
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:50.182390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median122
Q3206
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation97.83785139
Coefficient of variation (CV)0.9000473896
Kurtosis-1.705238095
Mean108.703
Median Absolute Deviation (MAD)107
Skewness0.03188366035
Sum652218
Variance9572.245165
MonotonicityNot monotonic
2025-03-21T22:38:50.247679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2208
36.8%
255 103
 
1.7%
221 46
 
0.8%
222 46
 
0.8%
209 45
 
0.8%
223 45
 
0.8%
229 43
 
0.7%
216 41
 
0.7%
227 40
 
0.7%
225 39
 
0.7%
Other values (245) 3344
55.7%
ValueCountFrequency (%)
0 2208
36.8%
1 23
 
0.4%
2 14
 
0.2%
3 17
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
255 103
1.7%
254 27
 
0.4%
253 14
 
0.2%
252 14
 
0.2%
251 12
 
0.2%

71
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.9791667
Minimum0
Maximum255
Zeros2158
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:50.314363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median121
Q3204
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation96.57207202
Coefficient of variation (CV)0.8861516836
Kurtosis-1.695581879
Mean108.9791667
Median Absolute Deviation (MAD)105
Skewness0.01492416563
Sum653875
Variance9326.165093
MonotonicityNot monotonic
2025-03-21T22:38:50.384402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2158
36.0%
255 68
 
1.1%
224 47
 
0.8%
198 45
 
0.8%
221 44
 
0.7%
213 44
 
0.7%
219 43
 
0.7%
204 40
 
0.7%
215 40
 
0.7%
199 40
 
0.7%
Other values (246) 3431
57.2%
ValueCountFrequency (%)
0 2158
36.0%
1 16
 
0.3%
2 14
 
0.2%
3 11
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 68
1.1%
254 11
 
0.2%
253 16
 
0.3%
252 11
 
0.2%
251 11
 
0.2%

72
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.8308333
Minimum0
Maximum255
Zeros2109
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:50.449793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3199
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation94.15912882
Coefficient of variation (CV)0.8897135726
Kurtosis-1.669778518
Mean105.8308333
Median Absolute Deviation (MAD)107
Skewness0.05110070622
Sum634985
Variance8865.94154
MonotonicityNot monotonic
2025-03-21T22:38:50.512560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2109
35.1%
255 48
 
0.8%
221 45
 
0.8%
222 45
 
0.8%
224 44
 
0.7%
205 43
 
0.7%
213 43
 
0.7%
215 41
 
0.7%
218 40
 
0.7%
227 39
 
0.7%
Other values (246) 3503
58.4%
ValueCountFrequency (%)
0 2109
35.1%
1 15
 
0.2%
2 13
 
0.2%
3 12
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 48
0.8%
254 8
 
0.1%
253 10
 
0.2%
252 7
 
0.1%
251 10
 
0.2%

73
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.7535
Minimum0
Maximum255
Zeros2153
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:50.573239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3194
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation93.02331407
Coefficient of variation (CV)0.9142025981
Kurtosis-1.63088543
Mean101.7535
Median Absolute Deviation (MAD)101
Skewness0.1261163062
Sum610521
Variance8653.336961
MonotonicityNot monotonic
2025-03-21T22:38:50.636874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2153
35.9%
255 50
 
0.8%
223 44
 
0.7%
212 40
 
0.7%
225 39
 
0.7%
224 38
 
0.6%
213 37
 
0.6%
230 37
 
0.6%
214 37
 
0.6%
226 37
 
0.6%
Other values (246) 3488
58.1%
ValueCountFrequency (%)
0 2153
35.9%
1 20
 
0.3%
2 16
 
0.3%
3 13
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 50
0.8%
254 13
 
0.2%
253 9
 
0.1%
252 7
 
0.1%
251 8
 
0.1%

74
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.46133333
Minimum0
Maximum255
Zeros2338
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:50.700179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median65
Q3184
95-th percentile238.05
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation92.27862733
Coefficient of variation (CV)1.02008918
Kurtosis-1.475720555
Mean90.46133333
Median Absolute Deviation (MAD)65
Skewness0.3795921319
Sum542768
Variance8515.345062
MonotonicityNot monotonic
2025-03-21T22:38:50.768624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2338
39.0%
255 76
 
1.3%
226 47
 
0.8%
223 31
 
0.5%
1 29
 
0.5%
201 29
 
0.5%
210 29
 
0.5%
224 28
 
0.5%
217 28
 
0.5%
225 28
 
0.5%
Other values (246) 3337
55.6%
ValueCountFrequency (%)
0 2338
39.0%
1 29
 
0.5%
2 27
 
0.4%
3 16
 
0.3%
4 17
 
0.3%
ValueCountFrequency (%)
255 76
1.3%
254 10
 
0.2%
253 14
 
0.2%
252 18
 
0.3%
251 12
 
0.2%

75
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.36666667
Minimum0
Maximum255
Zeros2878
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:50.834866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3132
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation83.95683224
Coefficient of variation (CV)1.28439825
Kurtosis-0.7377111668
Mean65.36666667
Median Absolute Deviation (MAD)3
Skewness0.8979669716
Sum392200
Variance7048.749681
MonotonicityNot monotonic
2025-03-21T22:38:50.902132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2878
48.0%
1 56
 
0.9%
2 47
 
0.8%
255 39
 
0.7%
3 27
 
0.4%
5 25
 
0.4%
241 24
 
0.4%
220 24
 
0.4%
217 24
 
0.4%
225 23
 
0.4%
Other values (246) 2833
47.2%
ValueCountFrequency (%)
0 2878
48.0%
1 56
 
0.9%
2 47
 
0.8%
3 27
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 39
0.7%
254 11
 
0.2%
253 4
 
0.1%
252 4
 
0.1%
251 7
 
0.1%

76
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.91266667
Minimum0
Maximum255
Zeros3732
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:50.967130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)66

Descriptive statistics

Standard deviation76.55269052
Coefficient of variation (CV)1.704478852
Kurtosis0.6000406992
Mean44.91266667
Median Absolute Deviation (MAD)0
Skewness1.462740002
Sum269476
Variance5860.314425
MonotonicityNot monotonic
2025-03-21T22:38:51.031279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3732
62.2%
1 75
 
1.2%
3 58
 
1.0%
2 57
 
0.9%
4 51
 
0.9%
255 21
 
0.4%
5 21
 
0.4%
6 18
 
0.3%
232 18
 
0.3%
7 17
 
0.3%
Other values (245) 1932
32.2%
ValueCountFrequency (%)
0 3732
62.2%
1 75
 
1.2%
2 57
 
0.9%
3 58
 
1.0%
4 51
 
0.9%
ValueCountFrequency (%)
255 21
0.4%
254 4
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 1
 
< 0.1%

77
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.69216667
Minimum0
Maximum255
Zeros4289
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:51.095129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)3

Descriptive statistics

Standard deviation68.19640897
Coefficient of variation (CV)2.086016802
Kurtosis2.365887784
Mean32.69216667
Median Absolute Deviation (MAD)0
Skewness1.953688863
Sum196153
Variance4650.750197
MonotonicityNot monotonic
2025-03-21T22:38:51.155559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4289
71.5%
1 104
 
1.7%
2 64
 
1.1%
3 47
 
0.8%
4 41
 
0.7%
5 30
 
0.5%
255 20
 
0.3%
132 14
 
0.2%
206 12
 
0.2%
162 12
 
0.2%
Other values (246) 1367
 
22.8%
ValueCountFrequency (%)
0 4289
71.5%
1 104
 
1.7%
2 64
 
1.1%
3 47
 
0.8%
4 41
 
0.7%
ValueCountFrequency (%)
255 20
0.3%
254 3
 
0.1%
253 6
 
0.1%
252 3
 
0.1%
251 2
 
< 0.1%

78
Real number (ℝ)

Zeros 

Distinct247
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.99433333
Minimum0
Maximum255
Zeros4664
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:51.218374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile164
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.86905019
Coefficient of variation (CV)2.730764449
Kurtosis7.527494355
Mean18.99433333
Median Absolute Deviation (MAD)0
Skewness2.910827723
Sum113966
Variance2690.398368
MonotonicityNot monotonic
2025-03-21T22:38:51.408473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4664
77.7%
1 184
 
3.1%
2 78
 
1.3%
3 43
 
0.7%
4 21
 
0.4%
5 20
 
0.3%
255 15
 
0.2%
6 15
 
0.2%
19 11
 
0.2%
37 10
 
0.2%
Other values (237) 939
 
15.7%
ValueCountFrequency (%)
0 4664
77.7%
1 184
 
3.1%
2 78
 
1.3%
3 43
 
0.7%
4 21
 
0.4%
ValueCountFrequency (%)
255 15
0.2%
254 2
 
< 0.1%
253 1
 
< 0.1%
252 3
 
0.1%
251 3
 
0.1%

79
Real number (ℝ)

Zeros 

Distinct209
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.274333333
Minimum0
Maximum255
Zeros5213
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:51.471086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile51
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.53904302
Coefficient of variation (CV)4.29509443
Kurtosis24.15313278
Mean8.274333333
Median Absolute Deviation (MAD)0
Skewness4.899889758
Sum49646
Variance1263.023578
MonotonicityNot monotonic
2025-03-21T22:38:51.535854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5213
86.9%
1 192
 
3.2%
2 74
 
1.2%
3 32
 
0.5%
4 17
 
0.3%
6 10
 
0.2%
5 10
 
0.2%
16 8
 
0.1%
7 7
 
0.1%
17 6
 
0.1%
Other values (199) 431
 
7.2%
ValueCountFrequency (%)
0 5213
86.9%
1 192
 
3.2%
2 74
 
1.2%
3 32
 
0.5%
4 17
 
0.3%
ValueCountFrequency (%)
255 4
0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 2
< 0.1%
249 2
< 0.1%

80
Real number (ℝ)

Zeros 

Distinct142
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.174666667
Minimum0
Maximum255
Zeros5553
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:51.601635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.24671992
Coefficient of variation (CV)6.287141469
Kurtosis52.23516156
Mean4.174666667
Median Absolute Deviation (MAD)0
Skewness7.133072256
Sum25048
Variance688.8903066
MonotonicityNot monotonic
2025-03-21T22:38:51.670864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5553
92.5%
1 129
 
2.1%
2 49
 
0.8%
3 29
 
0.5%
4 24
 
0.4%
5 8
 
0.1%
6 7
 
0.1%
187 4
 
0.1%
24 4
 
0.1%
7 4
 
0.1%
Other values (132) 189
 
3.1%
ValueCountFrequency (%)
0 5553
92.5%
1 129
 
2.1%
2 49
 
0.8%
3 29
 
0.5%
4 24
 
0.4%
ValueCountFrequency (%)
255 3
0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
246 1
 
< 0.1%
244 1
 
< 0.1%

81
Real number (ℝ)

Zeros 

Distinct93
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2735
Minimum0
Maximum255
Zeros5715
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:51.737019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.82387015
Coefficient of variation (CV)8.279687772
Kurtosis95.51360108
Mean2.2735
Median Absolute Deviation (MAD)0
Skewness9.548145969
Sum13641
Variance354.3380874
MonotonicityNot monotonic
2025-03-21T22:38:51.810012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5715
95.2%
1 92
 
1.5%
2 35
 
0.6%
3 19
 
0.3%
4 14
 
0.2%
7 7
 
0.1%
202 3
 
0.1%
60 3
 
0.1%
52 3
 
0.1%
6 3
 
0.1%
Other values (83) 106
 
1.8%
ValueCountFrequency (%)
0 5715
95.2%
1 92
 
1.5%
2 35
 
0.6%
3 19
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
247 1
< 0.1%
242 1
< 0.1%
230 2
< 0.1%
225 2
< 0.1%

82
Real number (ℝ)

Zeros 

Distinct62
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9935
Minimum0
Maximum255
Zeros5868
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:51.886703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.76491365
Coefficient of variation (CV)11.84188591
Kurtosis235.0928905
Mean0.9935
Median Absolute Deviation (MAD)0
Skewness14.59377241
Sum5961
Variance138.4131933
MonotonicityNot monotonic
2025-03-21T22:38:51.957113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5868
97.8%
1 33
 
0.5%
2 14
 
0.2%
4 9
 
0.1%
3 7
 
0.1%
14 3
 
0.1%
6 3
 
0.1%
8 2
 
< 0.1%
34 2
 
< 0.1%
145 2
 
< 0.1%
Other values (52) 57
 
0.9%
ValueCountFrequency (%)
0 5868
97.8%
1 33
 
0.5%
2 14
 
0.2%
3 7
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 2
< 0.1%
242 1
< 0.1%
220 1
< 0.1%
204 1
< 0.1%
197 1
< 0.1%

83
Real number (ℝ)

Skewed  Zeros 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2218333333
Minimum0
Maximum121
Zeros5948
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:52.013828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.158506002
Coefficient of variation (CV)18.74608265
Kurtosis528.0945404
Mean0.2218333333
Median Absolute Deviation (MAD)0
Skewness22.23788242
Sum1331
Variance17.29317217
MonotonicityNot monotonic
2025-03-21T22:38:52.068700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 5948
99.1%
1 15
 
0.2%
2 10
 
0.2%
4 2
 
< 0.1%
121 2
 
< 0.1%
5 2
 
< 0.1%
3 2
 
< 0.1%
73 1
 
< 0.1%
26 1
 
< 0.1%
14 1
 
< 0.1%
Other values (16) 16
 
0.3%
ValueCountFrequency (%)
0 5948
99.1%
1 15
 
0.2%
2 10
 
0.2%
3 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
121 2
< 0.1%
107 1
< 0.1%
98 1
< 0.1%
90 1
< 0.1%
88 1
< 0.1%

84
Real number (ℝ)

Skewed  Zeros 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04533333333
Minimum0
Maximum146
Zeros5963
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:52.113929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.991801388
Coefficient of variation (CV)43.93679531
Kurtosis4859.697897
Mean0.04533333333
Median Absolute Deviation (MAD)0
Skewness67.82478
Sum272
Variance3.967272768
MonotonicityNot monotonic
2025-03-21T22:38:52.158657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 5963
99.4%
1 18
 
0.3%
2 8
 
0.1%
5 3
 
0.1%
4 2
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
146 1
 
< 0.1%
47 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 5963
99.4%
1 18
 
0.3%
2 8
 
0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
146 1
 
< 0.1%
47 1
 
< 0.1%
7 1
 
< 0.1%
6 2
< 0.1%
5 3
0.1%

85
Real number (ℝ)

Skewed  Zeros 

Distinct20
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1723333333
Minimum0
Maximum246
Zeros5940
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:52.206907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum246
Range246
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.453942915
Coefficient of variation (CV)25.84492987
Kurtosis1874.17769
Mean0.1723333333
Median Absolute Deviation (MAD)0
Skewness39.79897208
Sum1034
Variance19.83760749
MonotonicityNot monotonic
2025-03-21T22:38:52.257148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5940
99.0%
1 22
 
0.4%
2 10
 
0.2%
3 7
 
0.1%
5 3
 
0.1%
4 3
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
47 1
 
< 0.1%
246 1
 
< 0.1%
Other values (10) 10
 
0.2%
ValueCountFrequency (%)
0 5940
99.0%
1 22
 
0.4%
2 10
 
0.2%
3 7
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
246 1
< 0.1%
155 1
< 0.1%
99 1
< 0.1%
78 1
< 0.1%
77 1
< 0.1%

86
Real number (ℝ)

Zeros 

Distinct44
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.619
Minimum0
Maximum248
Zeros5805
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:52.315122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum248
Range248
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.863121994
Coefficient of variation (CV)14.31845233
Kurtosis421.1113112
Mean0.619
Median Absolute Deviation (MAD)0
Skewness19.42176879
Sum3714
Variance78.55493149
MonotonicityNot monotonic
2025-03-21T22:38:52.377772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 5805
96.8%
1 78
 
1.3%
2 37
 
0.6%
3 20
 
0.3%
4 9
 
0.1%
5 5
 
0.1%
8 4
 
0.1%
6 3
 
0.1%
29 2
 
< 0.1%
34 2
 
< 0.1%
Other values (34) 35
 
0.6%
ValueCountFrequency (%)
0 5805
96.8%
1 78
 
1.3%
2 37
 
0.6%
3 20
 
0.3%
4 9
 
0.1%
ValueCountFrequency (%)
248 1
< 0.1%
238 1
< 0.1%
215 1
< 0.1%
197 1
< 0.1%
196 1
< 0.1%

87
Real number (ℝ)

Zeros 

Distinct86
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.623833333
Minimum0
Maximum255
Zeros5661
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:52.448132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.52268741
Coefficient of variation (CV)9.559286096
Kurtosis149.9574817
Mean1.623833333
Median Absolute Deviation (MAD)0
Skewness11.83848635
Sum9743
Variance240.9538243
MonotonicityNot monotonic
2025-03-21T22:38:52.517466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5661
94.3%
1 123
 
2.1%
2 58
 
1.0%
3 28
 
0.5%
4 20
 
0.3%
6 8
 
0.1%
5 7
 
0.1%
10 4
 
0.1%
8 3
 
0.1%
45 2
 
< 0.1%
Other values (76) 86
 
1.4%
ValueCountFrequency (%)
0 5661
94.3%
1 123
 
2.1%
2 58
 
1.0%
3 28
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
246 1
< 0.1%
241 1
< 0.1%
233 1
< 0.1%
232 2
< 0.1%

88
Real number (ℝ)

Zeros 

Distinct179
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1665
Minimum0
Maximum255
Zeros5295
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:52.584945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.36257835
Coefficient of variation (CV)4.599461339
Kurtosis31.1821056
Mean6.1665
Median Absolute Deviation (MAD)0
Skewness5.455418661
Sum36999
Variance804.4358504
MonotonicityNot monotonic
2025-03-21T22:38:52.655083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5295
88.2%
1 163
 
2.7%
2 75
 
1.2%
3 39
 
0.7%
4 19
 
0.3%
5 12
 
0.2%
24 9
 
0.1%
7 7
 
0.1%
14 7
 
0.1%
41 7
 
0.1%
Other values (169) 367
 
6.1%
ValueCountFrequency (%)
0 5295
88.2%
1 163
 
2.7%
2 75
 
1.2%
3 39
 
0.7%
4 19
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
248 1
< 0.1%
245 1
< 0.1%
235 1
< 0.1%
234 2
< 0.1%

89
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.8225
Minimum0
Maximum255
Zeros4810
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:52.944997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile165.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.01100535
Coefficient of variation (CV)2.674284543
Kurtosis6.709258816
Mean19.8225
Median Absolute Deviation (MAD)0
Skewness2.784679006
Sum118935
Variance2810.166688
MonotonicityNot monotonic
2025-03-21T22:38:53.010763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4810
80.2%
1 94
 
1.6%
2 53
 
0.9%
3 30
 
0.5%
4 15
 
0.2%
139 11
 
0.2%
62 10
 
0.2%
199 10
 
0.2%
163 10
 
0.2%
229 9
 
0.1%
Other values (239) 948
 
15.8%
ValueCountFrequency (%)
0 4810
80.2%
1 94
 
1.6%
2 53
 
0.9%
3 30
 
0.5%
4 15
 
0.2%
ValueCountFrequency (%)
255 7
0.1%
254 1
 
< 0.1%
251 1
 
< 0.1%
250 2
 
< 0.1%
249 1
 
< 0.1%

90
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.43933333
Minimum0
Maximum255
Zeros4228
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:53.078084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)21

Descriptive statistics

Standard deviation69.29232202
Coefficient of variation (CV)1.95523774
Kurtosis1.760460453
Mean35.43933333
Median Absolute Deviation (MAD)0
Skewness1.797004457
Sum212636
Variance4801.425891
MonotonicityNot monotonic
2025-03-21T22:38:53.144306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4228
70.5%
1 60
 
1.0%
2 40
 
0.7%
3 38
 
0.6%
49 16
 
0.3%
5 14
 
0.2%
4 14
 
0.2%
224 13
 
0.2%
164 13
 
0.2%
231 13
 
0.2%
Other values (245) 1551
 
25.9%
ValueCountFrequency (%)
0 4228
70.5%
1 60
 
1.0%
2 40
 
0.7%
3 38
 
0.6%
4 14
 
0.2%
ValueCountFrequency (%)
255 5
0.1%
254 4
0.1%
253 5
0.1%
252 2
 
< 0.1%
251 5
0.1%

91
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.15583333
Minimum0
Maximum255
Zeros3615
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:53.209355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q397
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)97

Descriptive statistics

Standard deviation77.77755744
Coefficient of variation (CV)1.550718077
Kurtosis-0.004290818337
Mean50.15583333
Median Absolute Deviation (MAD)0
Skewness1.242518819
Sum300935
Variance6049.348441
MonotonicityNot monotonic
2025-03-21T22:38:53.277442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3615
60.2%
1 55
 
0.9%
2 40
 
0.7%
3 25
 
0.4%
225 22
 
0.4%
143 21
 
0.4%
5 20
 
0.3%
224 18
 
0.3%
6 18
 
0.3%
222 18
 
0.3%
Other values (245) 2148
35.8%
ValueCountFrequency (%)
0 3615
60.2%
1 55
 
0.9%
2 40
 
0.7%
3 25
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
255 11
0.2%
254 4
 
0.1%
253 5
0.1%
252 3
 
0.1%
251 5
0.1%

92
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.15883333
Minimum0
Maximum255
Zeros3132
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:53.345327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3145
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)145

Descriptive statistics

Standard deviation85.84658726
Coefficient of variation (CV)1.297583149
Kurtosis-0.954973924
Mean66.15883333
Median Absolute Deviation (MAD)0
Skewness0.8256728761
Sum396953
Variance7369.636545
MonotonicityNot monotonic
2025-03-21T22:38:53.413481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3132
52.2%
1 62
 
1.0%
2 27
 
0.4%
214 25
 
0.4%
227 25
 
0.4%
207 25
 
0.4%
225 25
 
0.4%
224 23
 
0.4%
218 23
 
0.4%
145 23
 
0.4%
Other values (246) 2610
43.5%
ValueCountFrequency (%)
0 3132
52.2%
1 62
 
1.0%
2 27
 
0.4%
3 22
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
255 13
0.2%
254 2
 
< 0.1%
253 5
 
0.1%
252 3
 
0.1%
251 4
 
0.1%

93
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.09183333
Minimum0
Maximum255
Zeros2446
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:53.480354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median58
Q3176
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation90.45469626
Coefficient of variation (CV)1.05067685
Kurtosis-1.441002521
Mean86.09183333
Median Absolute Deviation (MAD)58
Skewness0.4250779485
Sum516551
Variance8182.052075
MonotonicityNot monotonic
2025-03-21T22:38:53.547003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2446
40.8%
1 55
 
0.9%
255 54
 
0.9%
2 39
 
0.7%
225 32
 
0.5%
222 32
 
0.5%
228 31
 
0.5%
219 31
 
0.5%
208 30
 
0.5%
230 30
 
0.5%
Other values (246) 3220
53.7%
ValueCountFrequency (%)
0 2446
40.8%
1 55
 
0.9%
2 39
 
0.7%
3 24
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 54
0.9%
254 5
 
0.1%
253 8
 
0.1%
252 5
 
0.1%
251 2
 
< 0.1%

94
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.6863333
Minimum0
Maximum255
Zeros2189
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:53.615135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96
Q3196
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation94.49371473
Coefficient of variation (CV)0.9384959369
Kurtosis-1.635511651
Mean100.6863333
Median Absolute Deviation (MAD)96
Skewness0.1673958139
Sum604118
Variance8929.062124
MonotonicityNot monotonic
2025-03-21T22:38:53.681712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2189
36.5%
255 81
 
1.4%
233 44
 
0.7%
1 42
 
0.7%
220 40
 
0.7%
204 39
 
0.7%
225 39
 
0.7%
219 38
 
0.6%
227 37
 
0.6%
224 37
 
0.6%
Other values (244) 3414
56.9%
ValueCountFrequency (%)
0 2189
36.5%
1 42
 
0.7%
2 21
 
0.4%
3 13
 
0.2%
4 16
 
0.3%
ValueCountFrequency (%)
255 81
1.4%
254 9
 
0.1%
253 6
 
0.1%
252 11
 
0.2%
251 6
 
0.1%

95
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.756
Minimum0
Maximum255
Zeros2098
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:53.746265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median108
Q3199
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation93.36139025
Coefficient of variation (CV)0.8998167841
Kurtosis-1.676414316
Mean103.756
Median Absolute Deviation (MAD)108
Skewness0.07187813789
Sum622536
Variance8716.349189
MonotonicityNot monotonic
2025-03-21T22:38:53.811362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2098
35.0%
208 53
 
0.9%
219 49
 
0.8%
221 47
 
0.8%
213 43
 
0.7%
215 43
 
0.7%
210 43
 
0.7%
222 41
 
0.7%
212 41
 
0.7%
231 41
 
0.7%
Other values (245) 3501
58.4%
ValueCountFrequency (%)
0 2098
35.0%
1 35
 
0.6%
2 17
 
0.3%
3 19
 
0.3%
4 16
 
0.3%
ValueCountFrequency (%)
255 17
0.3%
254 11
0.2%
253 2
 
< 0.1%
252 2
 
< 0.1%
251 4
 
0.1%

96
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.8471667
Minimum0
Maximum255
Zeros2080
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:53.886606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111
Q3202.25
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)202.25

Descriptive statistics

Standard deviation94.76561734
Coefficient of variation (CV)0.8953061317
Kurtosis-1.680018323
Mean105.8471667
Median Absolute Deviation (MAD)109
Skewness0.06196910712
Sum635083
Variance8980.522229
MonotonicityNot monotonic
2025-03-21T22:38:53.953953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2080
34.7%
229 55
 
0.9%
217 47
 
0.8%
214 44
 
0.7%
219 44
 
0.7%
1 43
 
0.7%
224 43
 
0.7%
228 41
 
0.7%
208 41
 
0.7%
211 41
 
0.7%
Other values (246) 3521
58.7%
ValueCountFrequency (%)
0 2080
34.7%
1 43
 
0.7%
2 20
 
0.3%
3 13
 
0.2%
4 15
 
0.2%
ValueCountFrequency (%)
255 31
0.5%
254 8
 
0.1%
253 6
 
0.1%
252 7
 
0.1%
251 8
 
0.1%

97
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.6721667
Minimum0
Maximum255
Zeros2064
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:54.019466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3204
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation95.75796724
Coefficient of variation (CV)0.897684656
Kurtosis-1.694874071
Mean106.6721667
Median Absolute Deviation (MAD)109
Skewness0.05284714414
Sum640033
Variance9169.58829
MonotonicityNot monotonic
2025-03-21T22:38:54.087132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2064
34.4%
227 47
 
0.8%
1 45
 
0.8%
212 45
 
0.8%
221 43
 
0.7%
228 43
 
0.7%
225 42
 
0.7%
232 41
 
0.7%
226 41
 
0.7%
213 40
 
0.7%
Other values (246) 3549
59.2%
ValueCountFrequency (%)
0 2064
34.4%
1 45
 
0.8%
2 34
 
0.6%
3 20
 
0.3%
4 17
 
0.3%
ValueCountFrequency (%)
255 35
0.6%
254 12
 
0.2%
253 8
 
0.1%
252 9
 
0.1%
251 9
 
0.1%

98
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.0438333
Minimum0
Maximum255
Zeros2049
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:54.308050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation95.98523727
Coefficient of variation (CV)0.8883916305
Kurtosis-1.684979845
Mean108.0438333
Median Absolute Deviation (MAD)108
Skewness0.03626499918
Sum648263
Variance9213.165773
MonotonicityNot monotonic
2025-03-21T22:38:54.375346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2049
34.2%
255 68
 
1.1%
230 46
 
0.8%
218 45
 
0.8%
227 43
 
0.7%
214 43
 
0.7%
221 42
 
0.7%
206 41
 
0.7%
225 39
 
0.7%
205 38
 
0.6%
Other values (246) 3546
59.1%
ValueCountFrequency (%)
0 2049
34.2%
1 38
 
0.6%
2 28
 
0.5%
3 27
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 68
1.1%
254 15
 
0.2%
253 9
 
0.1%
252 11
 
0.2%
251 12
 
0.2%

99
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.6668333
Minimum0
Maximum255
Zeros1993
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:54.440596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116
Q3203
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation94.53443972
Coefficient of variation (CV)0.8780274927
Kurtosis-1.672606193
Mean107.6668333
Median Absolute Deviation (MAD)105
Skewness0.02996347181
Sum646001
Variance8936.760293
MonotonicityNot monotonic
2025-03-21T22:38:54.506817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1993
33.2%
255 46
 
0.8%
213 44
 
0.7%
233 44
 
0.7%
204 44
 
0.7%
218 43
 
0.7%
227 43
 
0.7%
230 42
 
0.7%
221 42
 
0.7%
229 41
 
0.7%
Other values (246) 3618
60.3%
ValueCountFrequency (%)
0 1993
33.2%
1 33
 
0.5%
2 28
 
0.5%
3 16
 
0.3%
4 22
 
0.4%
ValueCountFrequency (%)
255 46
0.8%
254 6
 
0.1%
253 11
 
0.2%
252 5
 
0.1%
251 11
 
0.2%

100
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.7688333
Minimum0
Maximum255
Zeros1975
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:54.571740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3200
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation92.62213669
Coefficient of variation (CV)0.8675016276
Kurtosis-1.655945704
Mean106.7688333
Median Absolute Deviation (MAD)102
Skewness0.0259273079
Sum640613
Variance8578.860205
MonotonicityNot monotonic
2025-03-21T22:38:54.640707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1975
32.9%
224 50
 
0.8%
217 46
 
0.8%
223 45
 
0.8%
210 44
 
0.7%
206 42
 
0.7%
229 42
 
0.7%
216 41
 
0.7%
225 40
 
0.7%
221 40
 
0.7%
Other values (246) 3635
60.6%
ValueCountFrequency (%)
0 1975
32.9%
1 21
 
0.4%
2 17
 
0.3%
3 9
 
0.1%
4 12
 
0.2%
ValueCountFrequency (%)
255 29
0.5%
254 5
 
0.1%
253 5
 
0.1%
252 4
 
0.1%
251 2
 
< 0.1%

101
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.2073333
Minimum0
Maximum255
Zeros1969
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:54.706849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3197
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation91.86464063
Coefficient of variation (CV)0.8731771609
Kurtosis-1.636351027
Mean105.2073333
Median Absolute Deviation (MAD)104
Skewness0.05592009833
Sum631244
Variance8439.112198
MonotonicityNot monotonic
2025-03-21T22:38:54.774612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1969
32.8%
229 47
 
0.8%
215 46
 
0.8%
211 44
 
0.7%
223 42
 
0.7%
217 42
 
0.7%
214 41
 
0.7%
226 40
 
0.7%
232 40
 
0.7%
222 40
 
0.7%
Other values (246) 3649
60.8%
ValueCountFrequency (%)
0 1969
32.8%
1 24
 
0.4%
2 17
 
0.3%
3 10
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 24
0.4%
254 6
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 8
 
0.1%

102
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.4446667
Minimum0
Maximum255
Zeros2050
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:54.840146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median98
Q3194
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation92.5001819
Coefficient of variation (CV)0.9118289304
Kurtosis-1.596300368
Mean101.4446667
Median Absolute Deviation (MAD)98
Skewness0.1559920912
Sum608668
Variance8556.283652
MonotonicityNot monotonic
2025-03-21T22:38:54.905800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2050
34.2%
255 70
 
1.2%
213 43
 
0.7%
232 43
 
0.7%
217 41
 
0.7%
210 36
 
0.6%
226 36
 
0.6%
200 35
 
0.6%
230 34
 
0.6%
219 34
 
0.6%
Other values (246) 3578
59.6%
ValueCountFrequency (%)
0 2050
34.2%
1 25
 
0.4%
2 21
 
0.4%
3 13
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 70
1.2%
254 15
 
0.2%
253 9
 
0.1%
252 10
 
0.2%
251 11
 
0.2%

103
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.278
Minimum0
Maximum255
Zeros2392
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:54.972580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median57
Q3171
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)171

Descriptive statistics

Standard deviation88.23374968
Coefficient of variation (CV)1.046936919
Kurtosis-1.374712217
Mean84.278
Median Absolute Deviation (MAD)57
Skewness0.4551088647
Sum505668
Variance7785.194582
MonotonicityNot monotonic
2025-03-21T22:38:55.040616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2392
39.9%
1 42
 
0.7%
255 35
 
0.6%
2 32
 
0.5%
220 31
 
0.5%
206 30
 
0.5%
222 29
 
0.5%
179 27
 
0.4%
228 26
 
0.4%
205 26
 
0.4%
Other values (246) 3330
55.5%
ValueCountFrequency (%)
0 2392
39.9%
1 42
 
0.7%
2 32
 
0.5%
3 26
 
0.4%
4 12
 
0.2%
ValueCountFrequency (%)
255 35
0.6%
254 8
 
0.1%
253 5
 
0.1%
252 8
 
0.1%
251 4
 
0.1%

104
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.22366667
Minimum0
Maximum255
Zeros3110
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:55.109057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3134
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation83.83818609
Coefficient of variation (CV)1.326057005
Kurtosis-0.7904960926
Mean63.22366667
Median Absolute Deviation (MAD)0
Skewness0.9006320785
Sum379342
Variance7028.841447
MonotonicityNot monotonic
2025-03-21T22:38:55.178413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3110
51.8%
1 68
 
1.1%
2 43
 
0.7%
224 31
 
0.5%
3 25
 
0.4%
211 24
 
0.4%
219 24
 
0.4%
5 24
 
0.4%
201 23
 
0.4%
226 22
 
0.4%
Other values (246) 2606
43.4%
ValueCountFrequency (%)
0 3110
51.8%
1 68
 
1.1%
2 43
 
0.7%
3 25
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 19
0.3%
254 3
 
0.1%
253 2
 
< 0.1%
252 3
 
0.1%
251 5
 
0.1%

105
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.936
Minimum0
Maximum255
Zeros3654
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:55.245692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q380
95-th percentile218.05
Maximum255
Range255
Interquartile range (IQR)80

Descriptive statistics

Standard deviation76.58739567
Coefficient of variation (CV)1.631741002
Kurtosis0.3517970123
Mean46.936
Median Absolute Deviation (MAD)0
Skewness1.370774761
Sum281616
Variance5865.629176
MonotonicityNot monotonic
2025-03-21T22:38:55.310425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3654
60.9%
1 89
 
1.5%
2 64
 
1.1%
3 39
 
0.7%
255 25
 
0.4%
4 20
 
0.3%
212 19
 
0.3%
190 19
 
0.3%
6 18
 
0.3%
217 17
 
0.3%
Other values (246) 2036
33.9%
ValueCountFrequency (%)
0 3654
60.9%
1 89
 
1.5%
2 64
 
1.1%
3 39
 
0.7%
4 20
 
0.3%
ValueCountFrequency (%)
255 25
0.4%
254 2
 
< 0.1%
253 5
 
0.1%
252 1
 
< 0.1%
251 4
 
0.1%

106
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.77833333
Minimum0
Maximum255
Zeros4292
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:55.374031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile209
Maximum255
Range255
Interquartile range (IQR)4

Descriptive statistics

Standard deviation67.76512291
Coefficient of variation (CV)2.067375489
Kurtosis2.380668063
Mean32.77833333
Median Absolute Deviation (MAD)0
Skewness1.951452195
Sum196670
Variance4592.111883
MonotonicityNot monotonic
2025-03-21T22:38:55.439641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4292
71.5%
1 99
 
1.7%
2 64
 
1.1%
3 39
 
0.7%
4 17
 
0.3%
255 14
 
0.2%
230 14
 
0.2%
62 13
 
0.2%
232 12
 
0.2%
10 12
 
0.2%
Other values (245) 1424
 
23.7%
ValueCountFrequency (%)
0 4292
71.5%
1 99
 
1.7%
2 64
 
1.1%
3 39
 
0.7%
4 17
 
0.3%
ValueCountFrequency (%)
255 14
0.2%
254 2
 
< 0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
251 3
 
0.1%

107
Real number (ℝ)

Zeros 

Distinct248
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.85366667
Minimum0
Maximum255
Zeros4849
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:55.713732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile158.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.51059284
Coefficient of variation (CV)2.937674858
Kurtosis9.003173659
Mean16.85366667
Median Absolute Deviation (MAD)0
Skewness3.151646304
Sum101122
Variance2451.298803
MonotonicityNot monotonic
2025-03-21T22:38:55.782510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4849
80.8%
1 143
 
2.4%
2 62
 
1.0%
3 32
 
0.5%
4 21
 
0.4%
6 14
 
0.2%
36 11
 
0.2%
5 11
 
0.2%
19 9
 
0.1%
68 9
 
0.1%
Other values (238) 839
 
14.0%
ValueCountFrequency (%)
0 4849
80.8%
1 143
 
2.4%
2 62
 
1.0%
3 32
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
255 7
0.1%
254 2
 
< 0.1%
253 1
 
< 0.1%
250 1
 
< 0.1%
248 1
 
< 0.1%

108
Real number (ℝ)

Zeros 

Distinct190
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.66
Minimum0
Maximum255
Zeros5315
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:55.848803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile41.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.76846091
Coefficient of variation (CV)4.538963566
Kurtosis25.81074327
Mean7.66
Median Absolute Deviation (MAD)0
Skewness5.079224344
Sum45960
Variance1208.845874
MonotonicityNot monotonic
2025-03-21T22:38:55.916777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5315
88.6%
1 152
 
2.5%
2 69
 
1.1%
3 49
 
0.8%
4 15
 
0.2%
5 6
 
0.1%
9 6
 
0.1%
205 6
 
0.1%
14 6
 
0.1%
6 6
 
0.1%
Other values (180) 370
 
6.2%
ValueCountFrequency (%)
0 5315
88.6%
1 152
 
2.5%
2 69
 
1.1%
3 49
 
0.8%
4 15
 
0.2%
ValueCountFrequency (%)
255 4
0.1%
253 2
< 0.1%
248 1
 
< 0.1%
247 1
 
< 0.1%
245 2
< 0.1%

109
Real number (ℝ)

Zeros 

Distinct137
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.048833333
Minimum0
Maximum255
Zeros5588
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:55.982984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.84426134
Coefficient of variation (CV)6.136153132
Kurtosis51.3659342
Mean4.048833333
Median Absolute Deviation (MAD)0
Skewness7.020609855
Sum24293
Variance617.2373215
MonotonicityNot monotonic
2025-03-21T22:38:56.050405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5588
93.1%
1 99
 
1.7%
2 48
 
0.8%
3 24
 
0.4%
4 11
 
0.2%
5 10
 
0.2%
9 7
 
0.1%
6 5
 
0.1%
29 4
 
0.1%
129 4
 
0.1%
Other values (127) 200
 
3.3%
ValueCountFrequency (%)
0 5588
93.1%
1 99
 
1.7%
2 48
 
0.8%
3 24
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
248 1
< 0.1%
246 1
< 0.1%
245 2
< 0.1%
244 1
< 0.1%

110
Real number (ℝ)

Zeros 

Distinct91
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.788
Minimum0
Maximum255
Zeros5788
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:56.118572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.03085215
Coefficient of variation (CV)8.96580098
Kurtosis138.0955248
Mean1.788
Median Absolute Deviation (MAD)0
Skewness11.2199663
Sum10728
Variance256.9882207
MonotonicityNot monotonic
2025-03-21T22:38:56.187823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5788
96.5%
1 41
 
0.7%
2 19
 
0.3%
3 16
 
0.3%
4 11
 
0.2%
6 6
 
0.1%
28 4
 
0.1%
255 3
 
0.1%
17 3
 
0.1%
7 3
 
0.1%
Other values (81) 106
 
1.8%
ValueCountFrequency (%)
0 5788
96.5%
1 41
 
0.7%
2 19
 
0.3%
3 16
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 3
0.1%
254 1
 
< 0.1%
241 1
 
< 0.1%
236 1
 
< 0.1%
235 1
 
< 0.1%

111
Real number (ℝ)

Zeros 

Distinct41
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.504
Minimum0
Maximum195
Zeros5910
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:56.249614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum195
Range195
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.213620685
Coefficient of variation (CV)14.31273945
Kurtosis330.7929795
Mean0.504
Median Absolute Deviation (MAD)0
Skewness17.42013774
Sum3024
Variance52.03632339
MonotonicityNot monotonic
2025-03-21T22:38:56.317518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 5910
98.5%
1 24
 
0.4%
2 11
 
0.2%
3 6
 
0.1%
5 4
 
0.1%
4 4
 
0.1%
33 2
 
< 0.1%
99 2
 
< 0.1%
152 2
 
< 0.1%
128 2
 
< 0.1%
Other values (31) 33
 
0.5%
ValueCountFrequency (%)
0 5910
98.5%
1 24
 
0.4%
2 11
 
0.2%
3 6
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
195 1
< 0.1%
152 2
< 0.1%
142 1
< 0.1%
136 1
< 0.1%
133 1
< 0.1%

112
Real number (ℝ)

Skewed  Zeros 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1068333333
Minimum0
Maximum180
Zeros5957
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:56.376034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum180
Range180
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.204548563
Coefficient of variation (CV)29.99577438
Kurtosis2040.707294
Mean0.1068333333
Median Absolute Deviation (MAD)0
Skewness42.50015421
Sum641
Variance10.26913149
MonotonicityNot monotonic
2025-03-21T22:38:56.424426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5957
99.3%
1 16
 
0.3%
2 9
 
0.1%
4 3
 
0.1%
3 3
 
0.1%
13 1
 
< 0.1%
7 1
 
< 0.1%
60 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0 5957
99.3%
1 16
 
0.3%
2 9
 
0.1%
3 3
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
180 1
< 0.1%
112 1
< 0.1%
86 1
< 0.1%
67 1
< 0.1%
60 1
< 0.1%

113
Real number (ℝ)

Zeros 

Distinct36
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.539
Minimum0
Maximum230
Zeros5917
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:56.484167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum230
Range230
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.879299109
Coefficient of variation (CV)16.47365326
Kurtosis426.3377204
Mean0.539
Median Absolute Deviation (MAD)0
Skewness19.98903184
Sum3234
Variance78.84195266
MonotonicityNot monotonic
2025-03-21T22:38:56.550366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 5917
98.6%
1 20
 
0.3%
2 15
 
0.2%
3 5
 
0.1%
4 4
 
0.1%
5 4
 
0.1%
7 2
 
< 0.1%
60 2
 
< 0.1%
15 2
 
< 0.1%
6 2
 
< 0.1%
Other values (26) 27
 
0.4%
ValueCountFrequency (%)
0 5917
98.6%
1 20
 
0.3%
2 15
 
0.2%
3 5
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
230 1
< 0.1%
229 1
< 0.1%
216 1
< 0.1%
196 1
< 0.1%
188 1
< 0.1%

114
Real number (ℝ)

Zeros 

Distinct64
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.236333333
Minimum0
Maximum255
Zeros5798
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:56.613460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.29701527
Coefficient of variation (CV)10.75520243
Kurtosis193.9711673
Mean1.236333333
Median Absolute Deviation (MAD)0
Skewness13.31244372
Sum7418
Variance176.810615
MonotonicityNot monotonic
2025-03-21T22:38:56.683078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5798
96.6%
1 51
 
0.9%
2 38
 
0.6%
3 19
 
0.3%
4 10
 
0.2%
5 5
 
0.1%
6 4
 
0.1%
81 3
 
0.1%
107 3
 
0.1%
7 3
 
0.1%
Other values (54) 66
 
1.1%
ValueCountFrequency (%)
0 5798
96.6%
1 51
 
0.9%
2 38
 
0.6%
3 19
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
250 1
< 0.1%
248 1
< 0.1%
235 1
< 0.1%
229 2
< 0.1%

115
Real number (ℝ)

Zeros 

Distinct131
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.098666667
Minimum0
Maximum255
Zeros5577
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:56.750774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.61056519
Coefficient of variation (CV)6.651430246
Kurtosis72.35318464
Mean3.098666667
Median Absolute Deviation (MAD)0
Skewness8.174339697
Sum18592
Variance424.7953975
MonotonicityNot monotonic
2025-03-21T22:38:56.819294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5577
93.0%
1 106
 
1.8%
2 63
 
1.1%
3 24
 
0.4%
4 19
 
0.3%
6 9
 
0.1%
5 8
 
0.1%
8 5
 
0.1%
20 4
 
0.1%
54 4
 
0.1%
Other values (121) 181
 
3.0%
ValueCountFrequency (%)
0 5577
93.0%
1 106
 
1.8%
2 63
 
1.1%
3 24
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
252 1
< 0.1%
244 1
< 0.1%
242 1
< 0.1%
240 2
< 0.1%

116
Real number (ℝ)

Zeros 

Distinct233
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.787
Minimum0
Maximum255
Zeros5095
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:56.885664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile110
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.4281301
Coefficient of variation (CV)3.429891414
Kurtosis14.54058699
Mean11.787
Median Absolute Deviation (MAD)0
Skewness3.847239588
Sum70722
Variance1634.433703
MonotonicityNot monotonic
2025-03-21T22:38:56.954587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5095
84.9%
1 114
 
1.9%
2 47
 
0.8%
4 37
 
0.6%
3 31
 
0.5%
5 10
 
0.2%
24 9
 
0.1%
52 8
 
0.1%
36 8
 
0.1%
6 8
 
0.1%
Other values (223) 633
 
10.5%
ValueCountFrequency (%)
0 5095
84.9%
1 114
 
1.9%
2 47
 
0.8%
3 31
 
0.5%
4 37
 
0.6%
ValueCountFrequency (%)
255 3
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
251 1
 
< 0.1%
249 1
 
< 0.1%

117
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.23816667
Minimum0
Maximum255
Zeros4445
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:57.185437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile197
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation63.52460158
Coefficient of variation (CV)2.172660219
Kurtosis3.146433242
Mean29.23816667
Median Absolute Deviation (MAD)0
Skewness2.119052399
Sum175429
Variance4035.375006
MonotonicityNot monotonic
2025-03-21T22:38:57.250478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4445
74.1%
1 61
 
1.0%
2 47
 
0.8%
3 20
 
0.3%
4 14
 
0.2%
5 13
 
0.2%
164 12
 
0.2%
28 11
 
0.2%
159 11
 
0.2%
6 11
 
0.2%
Other values (246) 1355
 
22.6%
ValueCountFrequency (%)
0 4445
74.1%
1 61
 
1.0%
2 47
 
0.8%
3 20
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 10
0.2%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

118
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.057
Minimum0
Maximum255
Zeros3813
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:57.315220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q386
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)86

Descriptive statistics

Standard deviation78.02176395
Coefficient of variation (CV)1.623525479
Kurtosis0.162625571
Mean48.057
Median Absolute Deviation (MAD)0
Skewness1.317977733
Sum288342
Variance6087.39565
MonotonicityNot monotonic
2025-03-21T22:38:57.381134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3813
63.5%
1 51
 
0.9%
2 35
 
0.6%
3 21
 
0.4%
209 17
 
0.3%
215 16
 
0.3%
225 16
 
0.3%
129 16
 
0.3%
211 15
 
0.2%
212 15
 
0.2%
Other values (245) 1985
33.1%
ValueCountFrequency (%)
0 3813
63.5%
1 51
 
0.9%
2 35
 
0.6%
3 21
 
0.4%
4 10
 
0.2%
ValueCountFrequency (%)
255 6
0.1%
254 5
0.1%
253 3
0.1%
252 4
0.1%
251 3
0.1%

119
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.97583333
Minimum0
Maximum255
Zeros3351
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:57.444894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3134
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation84.58690249
Coefficient of variation (CV)1.364836872
Kurtosis-0.7864243702
Mean61.97583333
Median Absolute Deviation (MAD)0
Skewness0.9214815254
Sum371855
Variance7154.944073
MonotonicityNot monotonic
2025-03-21T22:38:57.513840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3351
55.9%
1 40
 
0.7%
2 31
 
0.5%
225 24
 
0.4%
226 24
 
0.4%
203 23
 
0.4%
214 23
 
0.4%
206 22
 
0.4%
223 22
 
0.4%
213 21
 
0.4%
Other values (246) 2419
40.3%
ValueCountFrequency (%)
0 3351
55.9%
1 40
 
0.7%
2 31
 
0.5%
3 17
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 5
0.1%
254 3
0.1%
253 6
0.1%
252 6
0.1%
251 4
0.1%

120
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.55633333
Minimum0
Maximum255
Zeros2929
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:57.584637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3160
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)160

Descriptive statistics

Standard deviation88.58058805
Coefficient of variation (CV)1.20425508
Kurtosis-1.221390599
Mean73.55633333
Median Absolute Deviation (MAD)2
Skewness0.662455433
Sum441338
Variance7846.52058
MonotonicityNot monotonic
2025-03-21T22:38:57.667015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2929
48.8%
1 40
 
0.7%
219 33
 
0.5%
2 32
 
0.5%
213 28
 
0.5%
210 28
 
0.5%
205 27
 
0.4%
211 27
 
0.4%
231 27
 
0.4%
225 26
 
0.4%
Other values (246) 2803
46.7%
ValueCountFrequency (%)
0 2929
48.8%
1 40
 
0.7%
2 32
 
0.5%
3 22
 
0.4%
4 20
 
0.3%
ValueCountFrequency (%)
255 24
0.4%
254 4
 
0.1%
253 2
 
< 0.1%
252 4
 
0.1%
251 6
 
0.1%

121
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.65733333
Minimum0
Maximum255
Zeros2295
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:57.735959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71.5
Q3182
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation90.85917204
Coefficient of variation (CV)1.002226391
Kurtosis-1.523889265
Mean90.65733333
Median Absolute Deviation (MAD)71.5
Skewness0.3284559013
Sum543944
Variance8255.389144
MonotonicityNot monotonic
2025-03-21T22:38:57.800476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2295
38.2%
1 73
 
1.2%
255 37
 
0.6%
215 35
 
0.6%
219 33
 
0.5%
208 33
 
0.5%
220 33
 
0.5%
221 32
 
0.5%
229 32
 
0.5%
217 31
 
0.5%
Other values (246) 3366
56.1%
ValueCountFrequency (%)
0 2295
38.2%
1 73
 
1.2%
2 25
 
0.4%
3 26
 
0.4%
4 22
 
0.4%
ValueCountFrequency (%)
255 37
0.6%
254 6
 
0.1%
253 7
 
0.1%
252 8
 
0.1%
251 2
 
< 0.1%

122
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.7291667
Minimum0
Maximum255
Zeros2079
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:57.861633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median98
Q3196
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation93.32862648
Coefficient of variation (CV)0.9174225008
Kurtosis-1.628628267
Mean101.7291667
Median Absolute Deviation (MAD)98
Skewness0.1419938223
Sum610375
Variance8710.232521
MonotonicityNot monotonic
2025-03-21T22:38:57.926371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2079
34.6%
255 74
 
1.2%
1 54
 
0.9%
220 44
 
0.7%
222 43
 
0.7%
228 42
 
0.7%
213 41
 
0.7%
224 41
 
0.7%
225 37
 
0.6%
215 37
 
0.6%
Other values (246) 3508
58.5%
ValueCountFrequency (%)
0 2079
34.6%
1 54
 
0.9%
2 21
 
0.4%
3 17
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 74
1.2%
254 13
 
0.2%
253 7
 
0.1%
252 8
 
0.1%
251 3
 
0.1%

123
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.2656667
Minimum0
Maximum255
Zeros2005
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:57.986797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106
Q3195
95-th percentile231.05
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation91.86172136
Coefficient of variation (CV)0.8895669231
Kurtosis-1.637923657
Mean103.2656667
Median Absolute Deviation (MAD)106
Skewness0.08278778347
Sum619594
Variance8438.575851
MonotonicityNot monotonic
2025-03-21T22:38:58.055059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2005
33.4%
226 51
 
0.9%
230 46
 
0.8%
1 42
 
0.7%
219 42
 
0.7%
229 41
 
0.7%
210 41
 
0.7%
228 41
 
0.7%
214 41
 
0.7%
213 40
 
0.7%
Other values (246) 3610
60.2%
ValueCountFrequency (%)
0 2005
33.4%
1 42
 
0.7%
2 27
 
0.4%
3 22
 
0.4%
4 10
 
0.2%
ValueCountFrequency (%)
255 21
0.4%
254 4
 
0.1%
253 4
 
0.1%
252 6
 
0.1%
251 6
 
0.1%

124
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.8831667
Minimum0
Maximum255
Zeros1961
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:58.124122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3199
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation93.1856057
Coefficient of variation (CV)0.8884705588
Kurtosis-1.647356888
Mean104.8831667
Median Absolute Deviation (MAD)107
Skewness0.07668498352
Sum629299
Variance8683.557109
MonotonicityNot monotonic
2025-03-21T22:38:58.191161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1961
32.7%
1 52
 
0.9%
235 47
 
0.8%
225 47
 
0.8%
214 45
 
0.8%
232 45
 
0.8%
228 43
 
0.7%
221 41
 
0.7%
220 40
 
0.7%
213 39
 
0.7%
Other values (246) 3640
60.7%
ValueCountFrequency (%)
0 1961
32.7%
1 52
 
0.9%
2 31
 
0.5%
3 24
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 38
0.6%
254 7
 
0.1%
253 10
 
0.2%
252 7
 
0.1%
251 8
 
0.1%

125
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.656
Minimum0
Maximum255
Zeros1961
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:58.255960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3203
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation94.25071988
Coefficient of variation (CV)0.8836888677
Kurtosis-1.664965719
Mean106.656
Median Absolute Deviation (MAD)107
Skewness0.05126840089
Sum639936
Variance8883.198197
MonotonicityNot monotonic
2025-03-21T22:38:58.321669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1961
32.7%
1 51
 
0.9%
232 49
 
0.8%
227 46
 
0.8%
255 46
 
0.8%
223 43
 
0.7%
220 43
 
0.7%
203 42
 
0.7%
215 42
 
0.7%
229 41
 
0.7%
Other values (246) 3636
60.6%
ValueCountFrequency (%)
0 1961
32.7%
1 51
 
0.9%
2 32
 
0.5%
3 30
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 46
0.8%
254 20
0.3%
253 5
 
0.1%
252 4
 
0.1%
251 4
 
0.1%

126
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.6836667
Minimum0
Maximum255
Zeros1893
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:58.549637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median119
Q3203
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation94.10362647
Coefficient of variation (CV)0.8658488378
Kurtosis-1.659218834
Mean108.6836667
Median Absolute Deviation (MAD)102
Skewness0.01427059027
Sum652102
Variance8855.492515
MonotonicityNot monotonic
2025-03-21T22:38:58.622250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1893
31.6%
1 61
 
1.0%
255 57
 
0.9%
221 43
 
0.7%
212 42
 
0.7%
226 42
 
0.7%
224 42
 
0.7%
231 41
 
0.7%
230 41
 
0.7%
210 41
 
0.7%
Other values (246) 3697
61.6%
ValueCountFrequency (%)
0 1893
31.6%
1 61
 
1.0%
2 36
 
0.6%
3 23
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 57
0.9%
254 12
 
0.2%
253 11
 
0.2%
252 6
 
0.1%
251 12
 
0.2%

127
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.236
Minimum0
Maximum255
Zeros1854
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:58.689947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3201
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation92.91389815
Coefficient of variation (CV)0.8505794624
Kurtosis-1.639229536
Mean109.236
Median Absolute Deviation (MAD)98
Skewness0.001593412366
Sum655416
Variance8632.992469
MonotonicityNot monotonic
2025-03-21T22:38:58.757266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1854
30.9%
226 55
 
0.9%
255 53
 
0.9%
228 46
 
0.8%
211 45
 
0.8%
213 43
 
0.7%
227 43
 
0.7%
209 42
 
0.7%
223 42
 
0.7%
229 41
 
0.7%
Other values (245) 3736
62.3%
ValueCountFrequency (%)
0 1854
30.9%
1 36
 
0.6%
2 27
 
0.4%
3 18
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
255 53
0.9%
254 5
 
0.1%
253 5
 
0.1%
252 4
 
0.1%
251 9
 
0.1%

128
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.59
Minimum0
Maximum255
Zeros1774
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:58.821710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3200
95-th percentile232.05
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation91.23423251
Coefficient of variation (CV)0.8325050872
Kurtosis-1.62344179
Mean109.59
Median Absolute Deviation (MAD)94
Skewness-0.0250333328
Sum657540
Variance8323.685181
MonotonicityNot monotonic
2025-03-21T22:38:58.892446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1774
29.6%
207 52
 
0.9%
226 51
 
0.9%
210 50
 
0.8%
212 46
 
0.8%
227 45
 
0.8%
232 43
 
0.7%
219 40
 
0.7%
233 39
 
0.7%
221 39
 
0.7%
Other values (246) 3821
63.7%
ValueCountFrequency (%)
0 1774
29.6%
1 29
 
0.5%
2 24
 
0.4%
3 25
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 30
0.5%
254 7
 
0.1%
253 6
 
0.1%
252 3
 
0.1%
251 10
 
0.2%

129
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.1221667
Minimum0
Maximum255
Zeros1766
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:58.965006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118
Q3198
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation90.76881479
Coefficient of variation (CV)0.8318091325
Kurtosis-1.610908703
Mean109.1221667
Median Absolute Deviation (MAD)95
Skewness-0.01232298538
Sum654733
Variance8238.977738
MonotonicityNot monotonic
2025-03-21T22:38:59.036203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1766
29.4%
224 48
 
0.8%
225 47
 
0.8%
214 45
 
0.8%
216 42
 
0.7%
255 42
 
0.7%
204 42
 
0.7%
217 41
 
0.7%
227 41
 
0.7%
223 40
 
0.7%
Other values (246) 3846
64.1%
ValueCountFrequency (%)
0 1766
29.4%
1 27
 
0.4%
2 15
 
0.2%
3 18
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 42
0.7%
254 8
 
0.1%
253 3
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

130
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.3053333
Minimum0
Maximum255
Zeros1808
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:59.105592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3196
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation90.79200572
Coefficient of variation (CV)0.8540682097
Kurtosis-1.592273411
Mean106.3053333
Median Absolute Deviation (MAD)101
Skewness0.05804369104
Sum637832
Variance8243.188303
MonotonicityNot monotonic
2025-03-21T22:38:59.173979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1808
30.1%
255 58
 
1.0%
213 53
 
0.9%
220 45
 
0.8%
227 42
 
0.7%
226 39
 
0.7%
228 37
 
0.6%
196 37
 
0.6%
206 36
 
0.6%
200 36
 
0.6%
Other values (246) 3809
63.5%
ValueCountFrequency (%)
0 1808
30.1%
1 26
 
0.4%
2 27
 
0.4%
3 11
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 58
1.0%
254 10
 
0.2%
253 5
 
0.1%
252 6
 
0.1%
251 7
 
0.1%

131
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.42783333
Minimum0
Maximum255
Zeros2086
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:59.243237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3182
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation89.02998099
Coefficient of variation (CV)0.952927814
Kurtosis-1.504981547
Mean93.42783333
Median Absolute Deviation (MAD)80
Skewness0.2789695579
Sum560567
Variance7926.337515
MonotonicityNot monotonic
2025-03-21T22:38:59.311674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2086
34.8%
1 49
 
0.8%
226 36
 
0.6%
216 36
 
0.6%
215 35
 
0.6%
255 35
 
0.6%
211 34
 
0.6%
213 34
 
0.6%
218 33
 
0.5%
185 33
 
0.5%
Other values (246) 3589
59.8%
ValueCountFrequency (%)
0 2086
34.8%
1 49
 
0.8%
2 30
 
0.5%
3 17
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
255 35
0.6%
254 10
 
0.2%
253 4
 
0.1%
252 5
 
0.1%
251 4
 
0.1%

132
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.9685
Minimum0
Maximum255
Zeros2758
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:59.376663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q3162
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation88.36619605
Coefficient of variation (CV)1.16319522
Kurtosis-1.259997513
Mean75.9685
Median Absolute Deviation (MAD)18
Skewness0.6151761294
Sum455811
Variance7808.584605
MonotonicityNot monotonic
2025-03-21T22:38:59.446808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2758
46.0%
1 40
 
0.7%
2 39
 
0.7%
209 32
 
0.5%
210 31
 
0.5%
3 30
 
0.5%
227 28
 
0.5%
214 28
 
0.5%
234 28
 
0.5%
255 27
 
0.4%
Other values (246) 2959
49.3%
ValueCountFrequency (%)
0 2758
46.0%
1 40
 
0.7%
2 39
 
0.7%
3 30
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 27
0.4%
254 7
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 1
 
< 0.1%

133
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.55466667
Minimum0
Maximum255
Zeros3215
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:59.514307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3136
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)136

Descriptive statistics

Standard deviation84.72098689
Coefficient of variation (CV)1.354351184
Kurtosis-0.774365884
Mean62.55466667
Median Absolute Deviation (MAD)0
Skewness0.9214813545
Sum375328
Variance7177.645619
MonotonicityNot monotonic
2025-03-21T22:38:59.584552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3215
53.6%
1 68
 
1.1%
2 40
 
0.7%
255 32
 
0.5%
3 29
 
0.5%
225 26
 
0.4%
228 24
 
0.4%
223 21
 
0.4%
212 21
 
0.4%
4 20
 
0.3%
Other values (246) 2504
41.7%
ValueCountFrequency (%)
0 3215
53.6%
1 68
 
1.1%
2 40
 
0.7%
3 29
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 32
0.5%
254 3
 
0.1%
253 3
 
0.1%
252 1
 
< 0.1%
251 7
 
0.1%

134
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.16966667
Minimum0
Maximum255
Zeros3740
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:59.651424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)76

Descriptive statistics

Standard deviation76.79412588
Coefficient of variation (CV)1.663302584
Kurtosis0.4427955801
Mean46.16966667
Median Absolute Deviation (MAD)0
Skewness1.406036821
Sum277018
Variance5897.33777
MonotonicityNot monotonic
2025-03-21T22:38:59.718470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3740
62.3%
1 87
 
1.5%
2 51
 
0.9%
4 25
 
0.4%
3 25
 
0.4%
255 21
 
0.4%
5 19
 
0.3%
144 17
 
0.3%
7 16
 
0.3%
6 16
 
0.3%
Other values (246) 1983
33.1%
ValueCountFrequency (%)
0 3740
62.3%
1 87
 
1.5%
2 51
 
0.9%
3 25
 
0.4%
4 25
 
0.4%
ValueCountFrequency (%)
255 21
0.4%
254 7
 
0.1%
253 4
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

135
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.12616667
Minimum0
Maximum255
Zeros4426
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:38:59.785249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile191.05
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation61.05914033
Coefficient of variation (CV)2.250931401
Kurtosis3.770960856
Mean27.12616667
Median Absolute Deviation (MAD)0
Skewness2.246574099
Sum162757
Variance3728.218618
MonotonicityNot monotonic
2025-03-21T22:39:00.002056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4426
73.8%
1 112
 
1.9%
2 59
 
1.0%
3 29
 
0.5%
4 21
 
0.4%
5 20
 
0.3%
36 11
 
0.2%
204 11
 
0.2%
73 11
 
0.2%
76 11
 
0.2%
Other values (245) 1289
 
21.5%
ValueCountFrequency (%)
0 4426
73.8%
1 112
 
1.9%
2 59
 
1.0%
3 29
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
255 7
0.1%
254 3
0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

136
Real number (ℝ)

Zeros 

Distinct238
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.67183333
Minimum0
Maximum255
Zeros5055
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.069669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile138
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.60639353
Coefficient of variation (CV)3.335792093
Kurtosis12.09577004
Mean13.67183333
Median Absolute Deviation (MAD)0
Skewness3.590475858
Sum82031
Variance2079.94313
MonotonicityNot monotonic
2025-03-21T22:39:00.143940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5055
84.2%
1 130
 
2.2%
2 72
 
1.2%
4 25
 
0.4%
3 23
 
0.4%
5 13
 
0.2%
11 10
 
0.2%
6 8
 
0.1%
190 8
 
0.1%
7 8
 
0.1%
Other values (228) 648
 
10.8%
ValueCountFrequency (%)
0 5055
84.2%
1 130
 
2.2%
2 72
 
1.2%
3 23
 
0.4%
4 25
 
0.4%
ValueCountFrequency (%)
255 8
0.1%
254 3
 
0.1%
253 2
 
< 0.1%
252 2
 
< 0.1%
249 1
 
< 0.1%

137
Real number (ℝ)

Zeros 

Distinct203
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.523666667
Minimum0
Maximum255
Zeros5424
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.210519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile39
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.80671416
Coefficient of variation (CV)4.493382769
Kurtosis25.29335953
Mean7.523666667
Median Absolute Deviation (MAD)0
Skewness5.003597017
Sum45142
Variance1142.893922
MonotonicityNot monotonic
2025-03-21T22:39:00.276857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5424
90.4%
1 79
 
1.3%
2 56
 
0.9%
3 31
 
0.5%
4 13
 
0.2%
5 7
 
0.1%
7 7
 
0.1%
6 7
 
0.1%
22 6
 
0.1%
172 5
 
0.1%
Other values (193) 365
 
6.1%
ValueCountFrequency (%)
0 5424
90.4%
1 79
 
1.3%
2 56
 
0.9%
3 31
 
0.5%
4 13
 
0.2%
ValueCountFrequency (%)
255 5
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
251 1
 
< 0.1%
246 2
 
< 0.1%

138
Real number (ℝ)

Zeros 

Distinct145
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.693666667
Minimum0
Maximum255
Zeros5638
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.343529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.96117076
Coefficient of variation (CV)6.216362446
Kurtosis56.41958885
Mean3.693666667
Median Absolute Deviation (MAD)0
Skewness7.299645302
Sum22162
Variance527.2153624
MonotonicityNot monotonic
2025-03-21T22:39:00.413278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5638
94.0%
1 67
 
1.1%
2 29
 
0.5%
3 15
 
0.2%
4 14
 
0.2%
5 9
 
0.1%
8 7
 
0.1%
6 7
 
0.1%
25 6
 
0.1%
19 4
 
0.1%
Other values (135) 204
 
3.4%
ValueCountFrequency (%)
0 5638
94.0%
1 67
 
1.1%
2 29
 
0.5%
3 15
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
253 1
< 0.1%
252 1
< 0.1%
251 1
< 0.1%
230 1
< 0.1%

139
Real number (ℝ)

Zeros 

Distinct69
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8635
Minimum0
Maximum164
Zeros5823
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.480532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum164
Range164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.325628331
Coefficient of variation (CV)9.641723602
Kurtosis174.1478809
Mean0.8635
Median Absolute Deviation (MAD)0
Skewness12.42137291
Sum5181
Variance69.3160871
MonotonicityNot monotonic
2025-03-21T22:39:00.547482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5823
97.0%
1 40
 
0.7%
2 21
 
0.4%
3 12
 
0.2%
4 9
 
0.1%
26 4
 
0.1%
13 4
 
0.1%
5 4
 
0.1%
42 3
 
0.1%
90 3
 
0.1%
Other values (59) 77
 
1.3%
ValueCountFrequency (%)
0 5823
97.0%
1 40
 
0.7%
2 21
 
0.4%
3 12
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
164 1
< 0.1%
155 1
< 0.1%
153 1
< 0.1%
147 1
< 0.1%
146 1
< 0.1%

140
Real number (ℝ)

Skewed  Zeros 

Distinct22
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2066666667
Minimum0
Maximum176
Zeros5925
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.604978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum176
Range176
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.59116565
Coefficient of variation (CV)22.21531766
Kurtosis954.5257455
Mean0.2066666667
Median Absolute Deviation (MAD)0
Skewness29.46849341
Sum1240
Variance21.07880202
MonotonicityNot monotonic
2025-03-21T22:39:00.657906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 5925
98.8%
1 33
 
0.5%
2 12
 
0.2%
3 6
 
0.1%
5 3
 
0.1%
4 3
 
0.1%
7 2
 
< 0.1%
13 2
 
< 0.1%
34 1
 
< 0.1%
15 1
 
< 0.1%
Other values (12) 12
 
0.2%
ValueCountFrequency (%)
0 5925
98.8%
1 33
 
0.5%
2 12
 
0.2%
3 6
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
176 1
< 0.1%
171 1
< 0.1%
140 1
< 0.1%
106 1
< 0.1%
104 1
< 0.1%

141
Real number (ℝ)

Zeros 

Distinct56
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.052
Minimum0
Maximum254
Zeros5875
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.720106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum254
Range254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.14143874
Coefficient of variation (CV)12.49186192
Kurtosis226.5107137
Mean1.052
Median Absolute Deviation (MAD)0
Skewness14.58807509
Sum6312
Variance172.6974122
MonotonicityNot monotonic
2025-03-21T22:39:00.788140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5875
97.9%
1 34
 
0.6%
2 17
 
0.3%
4 10
 
0.2%
3 5
 
0.1%
5 4
 
0.1%
35 2
 
< 0.1%
163 2
 
< 0.1%
7 2
 
< 0.1%
23 2
 
< 0.1%
Other values (46) 47
 
0.8%
ValueCountFrequency (%)
0 5875
97.9%
1 34
 
0.6%
2 17
 
0.3%
3 5
 
0.1%
4 10
 
0.2%
ValueCountFrequency (%)
254 1
< 0.1%
250 1
< 0.1%
246 1
< 0.1%
242 1
< 0.1%
239 1
< 0.1%

142
Real number (ℝ)

Zeros 

Distinct101
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.351666667
Minimum0
Maximum246
Zeros5765
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.855192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum246
Range246
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.56506866
Coefficient of variation (CV)7.894430328
Kurtosis89.86885236
Mean2.351666667
Median Absolute Deviation (MAD)0
Skewness9.215743925
Sum14110
Variance344.6617742
MonotonicityNot monotonic
2025-03-21T22:39:00.921606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5765
96.1%
1 38
 
0.6%
2 24
 
0.4%
3 22
 
0.4%
4 15
 
0.2%
5 7
 
0.1%
92 4
 
0.1%
38 3
 
0.1%
73 3
 
0.1%
15 3
 
0.1%
Other values (91) 116
 
1.9%
ValueCountFrequency (%)
0 5765
96.1%
1 38
 
0.6%
2 24
 
0.4%
3 22
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
246 1
< 0.1%
244 1
< 0.1%
240 1
< 0.1%
229 2
< 0.1%
222 1
< 0.1%

143
Real number (ℝ)

Zeros 

Distinct168
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3535
Minimum0
Maximum255
Zeros5505
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:00.990267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.23776521
Coefficient of variation (CV)5.087842572
Kurtosis38.12051504
Mean5.3535
Median Absolute Deviation (MAD)0
Skewness6.020947783
Sum32121
Variance741.8958537
MonotonicityNot monotonic
2025-03-21T22:39:01.057788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5505
91.8%
1 58
 
1.0%
2 55
 
0.9%
3 24
 
0.4%
4 13
 
0.2%
5 10
 
0.2%
6 8
 
0.1%
8 8
 
0.1%
15 7
 
0.1%
28 5
 
0.1%
Other values (158) 307
 
5.1%
ValueCountFrequency (%)
0 5505
91.8%
1 58
 
1.0%
2 55
 
0.9%
3 24
 
0.4%
4 13
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
252 1
< 0.1%
247 1
< 0.1%
245 1
< 0.1%
241 1
< 0.1%

144
Real number (ℝ)

Zeros 

Distinct245
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.64766667
Minimum0
Maximum255
Zeros4900
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:01.123691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile157
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.24085209
Coefficient of variation (CV)2.846883559
Kurtosis8.331498105
Mean17.64766667
Median Absolute Deviation (MAD)0
Skewness3.04004531
Sum105886
Variance2524.143218
MonotonicityNot monotonic
2025-03-21T22:39:01.189062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4900
81.7%
1 87
 
1.5%
2 52
 
0.9%
3 20
 
0.3%
7 14
 
0.2%
4 13
 
0.2%
45 12
 
0.2%
43 10
 
0.2%
6 10
 
0.2%
39 10
 
0.2%
Other values (235) 872
 
14.5%
ValueCountFrequency (%)
0 4900
81.7%
1 87
 
1.5%
2 52
 
0.9%
3 20
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 8
0.1%
254 1
 
< 0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%

145
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.542
Minimum0
Maximum255
Zeros4127
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:01.255179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile213
Maximum255
Range255
Interquartile range (IQR)40

Descriptive statistics

Standard deviation71.55614078
Coefficient of variation (CV)1.856575704
Kurtosis1.275619804
Mean38.542
Median Absolute Deviation (MAD)0
Skewness1.664626808
Sum231252
Variance5120.281283
MonotonicityNot monotonic
2025-03-21T22:39:01.477986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4127
68.8%
1 58
 
1.0%
2 32
 
0.5%
221 18
 
0.3%
3 18
 
0.3%
171 15
 
0.2%
216 14
 
0.2%
178 14
 
0.2%
155 14
 
0.2%
150 13
 
0.2%
Other values (245) 1677
28.0%
ValueCountFrequency (%)
0 4127
68.8%
1 58
 
1.0%
2 32
 
0.5%
3 18
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 12
0.2%
253 3
 
0.1%
252 3
 
0.1%
251 3
 
0.1%
250 4
 
0.1%

146
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.8365
Minimum0
Maximum255
Zeros3581
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:01.541551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3122
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)122

Descriptive statistics

Standard deviation83.23380771
Coefficient of variation (CV)1.464442879
Kurtosis-0.5110959552
Mean56.8365
Median Absolute Deviation (MAD)0
Skewness1.061278495
Sum341019
Variance6927.866746
MonotonicityNot monotonic
2025-03-21T22:39:01.610688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3581
59.7%
2 32
 
0.5%
1 30
 
0.5%
206 27
 
0.4%
231 23
 
0.4%
209 21
 
0.4%
221 21
 
0.4%
234 20
 
0.3%
195 20
 
0.3%
229 19
 
0.3%
Other values (246) 2206
36.8%
ValueCountFrequency (%)
0 3581
59.7%
1 30
 
0.5%
2 32
 
0.5%
3 16
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
255 13
0.2%
254 2
 
< 0.1%
253 4
 
0.1%
252 6
0.1%
251 3
 
0.1%

147
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.13366667
Minimum0
Maximum255
Zeros3174
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:01.678278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3153
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)153

Descriptive statistics

Standard deviation87.3797326
Coefficient of variation (CV)1.282475124
Kurtosis-1.062327209
Mean68.13366667
Median Absolute Deviation (MAD)0
Skewness0.7779357504
Sum408802
Variance7635.21767
MonotonicityNot monotonic
2025-03-21T22:39:01.746699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3174
52.9%
1 36
 
0.6%
2 31
 
0.5%
225 29
 
0.5%
220 26
 
0.4%
207 26
 
0.4%
222 25
 
0.4%
210 25
 
0.4%
224 23
 
0.4%
198 23
 
0.4%
Other values (245) 2582
43.0%
ValueCountFrequency (%)
0 3174
52.9%
1 36
 
0.6%
2 31
 
0.5%
3 17
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 19
0.3%
254 6
 
0.1%
253 4
 
0.1%
252 3
 
0.1%
251 3
 
0.1%

148
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.32783333
Minimum0
Maximum255
Zeros2749
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:01.812483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27
Q3168
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)168

Descriptive statistics

Standard deviation89.18391664
Coefficient of variation (CV)1.138598029
Kurtosis-1.339919862
Mean78.32783333
Median Absolute Deviation (MAD)27
Skewness0.560402638
Sum469967
Variance7953.770987
MonotonicityNot monotonic
2025-03-21T22:39:01.881723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2749
45.8%
213 34
 
0.6%
210 31
 
0.5%
2 31
 
0.5%
225 30
 
0.5%
221 29
 
0.5%
215 29
 
0.5%
1 29
 
0.5%
223 28
 
0.5%
220 28
 
0.5%
Other values (245) 2982
49.7%
ValueCountFrequency (%)
0 2749
45.8%
1 29
 
0.5%
2 31
 
0.5%
3 20
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
255 20
0.3%
254 5
 
0.1%
253 2
 
< 0.1%
252 5
 
0.1%
251 2
 
< 0.1%

149
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.1245
Minimum0
Maximum255
Zeros2171
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:01.949089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median86
Q3186
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation91.11473709
Coefficient of variation (CV)0.9578472117
Kurtosis-1.572031715
Mean95.1245
Median Absolute Deviation (MAD)86
Skewness0.235460591
Sum570747
Variance8301.895316
MonotonicityNot monotonic
2025-03-21T22:39:02.015831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2171
36.2%
1 77
 
1.3%
255 40
 
0.7%
210 38
 
0.6%
208 38
 
0.6%
224 36
 
0.6%
205 36
 
0.6%
225 35
 
0.6%
221 35
 
0.6%
229 31
 
0.5%
Other values (246) 3463
57.7%
ValueCountFrequency (%)
0 2171
36.2%
1 77
 
1.3%
2 30
 
0.5%
3 17
 
0.3%
4 19
 
0.3%
ValueCountFrequency (%)
255 40
0.7%
254 5
 
0.1%
253 10
 
0.2%
252 6
 
0.1%
251 8
 
0.1%

150
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.5383333
Minimum0
Maximum255
Zeros1981
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:02.080280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106
Q3196
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation92.41382788
Coefficient of variation (CV)0.8925566493
Kurtosis-1.618221505
Mean103.5383333
Median Absolute Deviation (MAD)106
Skewness0.1033309453
Sum621230
Variance8540.315583
MonotonicityNot monotonic
2025-03-21T22:39:02.149083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1981
33.0%
255 62
 
1.0%
1 58
 
1.0%
224 45
 
0.8%
219 45
 
0.8%
213 42
 
0.7%
207 41
 
0.7%
223 39
 
0.7%
222 39
 
0.7%
232 39
 
0.7%
Other values (246) 3609
60.2%
ValueCountFrequency (%)
0 1981
33.0%
1 58
 
1.0%
2 20
 
0.3%
3 19
 
0.3%
4 9
 
0.1%
ValueCountFrequency (%)
255 62
1.0%
254 9
 
0.1%
253 5
 
0.1%
252 11
 
0.2%
251 8
 
0.1%

151
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.4073333
Minimum0
Maximum255
Zeros1864
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:02.214607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3194
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation90.65067753
Coefficient of variation (CV)0.8682405214
Kurtosis-1.621978391
Mean104.4073333
Median Absolute Deviation (MAD)102.5
Skewness0.05528874118
Sum626444
Variance8217.545337
MonotonicityNot monotonic
2025-03-21T22:39:02.280696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1864
31.1%
1 55
 
0.9%
220 45
 
0.8%
218 42
 
0.7%
226 41
 
0.7%
225 39
 
0.7%
206 39
 
0.7%
222 39
 
0.7%
215 38
 
0.6%
230 37
 
0.6%
Other values (246) 3761
62.7%
ValueCountFrequency (%)
0 1864
31.1%
1 55
 
0.9%
2 31
 
0.5%
3 28
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 19
0.3%
254 5
 
0.1%
253 5
 
0.1%
252 3
 
0.1%
251 3
 
0.1%

152
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.7821667
Minimum0
Maximum255
Zeros1841
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:02.344451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median108
Q3197
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation91.60396969
Coefficient of variation (CV)0.8742324444
Kurtosis-1.623779312
Mean104.7821667
Median Absolute Deviation (MAD)104
Skewness0.07520246248
Sum628693
Variance8391.287263
MonotonicityNot monotonic
2025-03-21T22:39:02.411011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1841
30.7%
1 65
 
1.1%
229 49
 
0.8%
214 46
 
0.8%
225 45
 
0.8%
222 45
 
0.8%
223 45
 
0.8%
235 40
 
0.7%
231 40
 
0.7%
216 39
 
0.7%
Other values (246) 3745
62.4%
ValueCountFrequency (%)
0 1841
30.7%
1 65
 
1.1%
2 28
 
0.5%
3 34
 
0.6%
4 19
 
0.3%
ValueCountFrequency (%)
255 31
0.5%
254 5
 
0.1%
253 6
 
0.1%
252 4
 
0.1%
251 1
 
< 0.1%

153
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.9143333
Minimum0
Maximum255
Zeros1791
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:02.475581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3199
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation92.06575917
Coefficient of variation (CV)0.861117086
Kurtosis-1.638849686
Mean106.9143333
Median Absolute Deviation (MAD)101
Skewness0.03084872008
Sum641486
Variance8476.104012
MonotonicityNot monotonic
2025-03-21T22:39:02.540560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1791
29.8%
1 73
 
1.2%
211 50
 
0.8%
214 49
 
0.8%
227 45
 
0.8%
220 43
 
0.7%
224 42
 
0.7%
228 41
 
0.7%
200 40
 
0.7%
219 39
 
0.7%
Other values (246) 3787
63.1%
ValueCountFrequency (%)
0 1791
29.8%
1 73
 
1.2%
2 38
 
0.6%
3 35
 
0.6%
4 19
 
0.3%
ValueCountFrequency (%)
255 36
0.6%
254 8
 
0.1%
253 5
 
0.1%
252 4
 
0.1%
251 3
 
0.1%

154
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.0645
Minimum0
Maximum255
Zeros1716
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:02.606934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median121
Q3201
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation92.10327813
Coefficient of variation (CV)0.829277385
Kurtosis-1.626566091
Mean111.0645
Median Absolute Deviation (MAD)95
Skewness-0.03648943591
Sum666387
Variance8483.013842
MonotonicityNot monotonic
2025-03-21T22:39:02.822625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1716
28.6%
2 52
 
0.9%
1 47
 
0.8%
210 46
 
0.8%
209 45
 
0.8%
230 44
 
0.7%
227 44
 
0.7%
221 43
 
0.7%
222 43
 
0.7%
232 42
 
0.7%
Other values (245) 3878
64.6%
ValueCountFrequency (%)
0 1716
28.6%
1 47
 
0.8%
2 52
 
0.9%
3 21
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 38
0.6%
254 12
 
0.2%
253 7
 
0.1%
252 5
 
0.1%
251 4
 
0.1%

155
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.6401667
Minimum0
Maximum255
Zeros1634
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:02.890414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3202
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation91.11895593
Coefficient of variation (CV)0.8089383977
Kurtosis-1.607037547
Mean112.6401667
Median Absolute Deviation (MAD)91
Skewness-0.06003132606
Sum675841
Variance8302.664131
MonotonicityNot monotonic
2025-03-21T22:39:02.959239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1634
27.2%
229 49
 
0.8%
228 47
 
0.8%
221 46
 
0.8%
212 44
 
0.7%
1 43
 
0.7%
220 42
 
0.7%
235 42
 
0.7%
216 42
 
0.7%
214 42
 
0.7%
Other values (246) 3969
66.1%
ValueCountFrequency (%)
0 1634
27.2%
1 43
 
0.7%
2 23
 
0.4%
3 21
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 34
0.6%
254 7
 
0.1%
253 7
 
0.1%
252 6
 
0.1%
251 6
 
0.1%

156
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.4866667
Minimum0
Maximum255
Zeros1522
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.028163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median126
Q3201
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation89.29383361
Coefficient of variation (CV)0.7799496326
Kurtosis-1.569129184
Mean114.4866667
Median Absolute Deviation (MAD)86
Skewness-0.1010605361
Sum686920
Variance7973.38872
MonotonicityNot monotonic
2025-03-21T22:39:03.097831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1522
 
25.4%
228 51
 
0.9%
227 50
 
0.8%
208 48
 
0.8%
216 45
 
0.8%
213 42
 
0.7%
211 41
 
0.7%
217 41
 
0.7%
212 41
 
0.7%
207 40
 
0.7%
Other values (246) 4079
68.0%
ValueCountFrequency (%)
0 1522
25.4%
1 26
 
0.4%
2 27
 
0.4%
3 16
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 35
0.6%
254 3
 
0.1%
253 5
 
0.1%
252 5
 
0.1%
251 3
 
0.1%

157
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.1811667
Minimum0
Maximum255
Zeros1520
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.164617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median129
Q3200
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation89.14501566
Coefficient of variation (CV)0.77395479
Kurtosis-1.556760152
Mean115.1811667
Median Absolute Deviation (MAD)84
Skewness-0.1146501584
Sum691087
Variance7946.833818
MonotonicityNot monotonic
2025-03-21T22:39:03.231593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1520
 
25.3%
224 55
 
0.9%
225 48
 
0.8%
221 45
 
0.8%
231 45
 
0.8%
230 43
 
0.7%
215 40
 
0.7%
227 40
 
0.7%
216 40
 
0.7%
211 40
 
0.7%
Other values (246) 4084
68.1%
ValueCountFrequency (%)
0 1520
25.3%
1 31
 
0.5%
2 11
 
0.2%
3 11
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 38
0.6%
254 5
 
0.1%
253 7
 
0.1%
252 6
 
0.1%
251 3
 
0.1%

158
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.1943333
Minimum0
Maximum255
Zeros1560
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.298836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3199
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation89.54793338
Coefficient of variation (CV)0.7910990837
Kurtosis-1.558235693
Mean113.1943333
Median Absolute Deviation (MAD)88
Skewness-0.06660917505
Sum679166
Variance8018.832373
MonotonicityNot monotonic
2025-03-21T22:39:03.368208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1560
 
26.0%
255 60
 
1.0%
220 45
 
0.8%
214 43
 
0.7%
229 43
 
0.7%
208 42
 
0.7%
215 41
 
0.7%
207 40
 
0.7%
224 40
 
0.7%
223 39
 
0.7%
Other values (246) 4047
67.5%
ValueCountFrequency (%)
0 1560
26.0%
1 33
 
0.5%
2 24
 
0.4%
3 13
 
0.2%
4 16
 
0.3%
ValueCountFrequency (%)
255 60
1.0%
254 9
 
0.1%
253 10
 
0.2%
252 7
 
0.1%
251 1
 
< 0.1%

159
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.9485
Minimum0
Maximum255
Zeros1830
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.435165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median102
Q3189
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation89.31931578
Coefficient of variation (CV)0.8761219221
Kurtosis-1.558129662
Mean101.9485
Median Absolute Deviation (MAD)101
Skewness0.1189291312
Sum611691
Variance7977.940171
MonotonicityNot monotonic
2025-03-21T22:39:03.501647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1830
30.5%
216 44
 
0.7%
1 43
 
0.7%
197 39
 
0.7%
220 37
 
0.6%
222 36
 
0.6%
214 36
 
0.6%
215 35
 
0.6%
227 34
 
0.6%
233 33
 
0.5%
Other values (246) 3833
63.9%
ValueCountFrequency (%)
0 1830
30.5%
1 43
 
0.7%
2 33
 
0.5%
3 31
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
255 31
0.5%
254 5
 
0.1%
253 3
 
0.1%
252 10
 
0.2%
251 6
 
0.1%

160
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.45183333
Minimum0
Maximum255
Zeros2418
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.568079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median53
Q3178
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation90.37345613
Coefficient of variation (CV)1.057595286
Kurtosis-1.458166109
Mean85.45183333
Median Absolute Deviation (MAD)53
Skewness0.432017832
Sum512711
Variance8167.361574
MonotonicityNot monotonic
2025-03-21T22:39:03.639078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2418
40.3%
1 47
 
0.8%
3 43
 
0.7%
2 40
 
0.7%
213 35
 
0.6%
217 32
 
0.5%
255 31
 
0.5%
214 31
 
0.5%
210 31
 
0.5%
221 30
 
0.5%
Other values (246) 3262
54.4%
ValueCountFrequency (%)
0 2418
40.3%
1 47
 
0.8%
2 40
 
0.7%
3 43
 
0.7%
4 19
 
0.3%
ValueCountFrequency (%)
255 31
0.5%
254 5
 
0.1%
253 5
 
0.1%
252 2
 
< 0.1%
251 4
 
0.1%

161
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.70816667
Minimum0
Maximum255
Zeros2848
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.706772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q3161
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)161

Descriptive statistics

Standard deviation88.61678635
Coefficient of variation (CV)1.202265507
Kurtosis-1.204954281
Mean73.70816667
Median Absolute Deviation (MAD)5
Skewness0.6686516244
Sum442249
Variance7852.934822
MonotonicityNot monotonic
2025-03-21T22:39:03.776198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2848
47.5%
1 74
 
1.2%
2 38
 
0.6%
255 34
 
0.6%
222 30
 
0.5%
221 28
 
0.5%
191 28
 
0.5%
212 26
 
0.4%
216 26
 
0.4%
230 26
 
0.4%
Other values (246) 2842
47.4%
ValueCountFrequency (%)
0 2848
47.5%
1 74
 
1.2%
2 38
 
0.6%
3 20
 
0.3%
4 18
 
0.3%
ValueCountFrequency (%)
255 34
0.6%
254 6
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 2
 
< 0.1%

162
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.947
Minimum0
Maximum255
Zeros3313
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.844197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3124
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)124

Descriptive statistics

Standard deviation83.77328443
Coefficient of variation (CV)1.421162815
Kurtosis-0.5594830521
Mean58.947
Median Absolute Deviation (MAD)0
Skewness1.029392558
Sum353682
Variance7017.963185
MonotonicityNot monotonic
2025-03-21T22:39:03.913588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3313
55.2%
1 77
 
1.3%
2 43
 
0.7%
3 33
 
0.5%
255 26
 
0.4%
217 25
 
0.4%
205 21
 
0.4%
204 21
 
0.4%
226 20
 
0.3%
200 19
 
0.3%
Other values (246) 2402
40.0%
ValueCountFrequency (%)
0 3313
55.2%
1 77
 
1.3%
2 43
 
0.7%
3 33
 
0.5%
4 12
 
0.2%
ValueCountFrequency (%)
255 26
0.4%
254 6
 
0.1%
253 2
 
< 0.1%
252 6
 
0.1%
251 3
 
0.1%

163
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.30416667
Minimum0
Maximum255
Zeros3994
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:03.981827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334
95-th percentile214.05
Maximum255
Range255
Interquartile range (IQR)34

Descriptive statistics

Standard deviation72.02272693
Coefficient of variation (CV)1.880284397
Kurtosis1.426413255
Mean38.30416667
Median Absolute Deviation (MAD)0
Skewness1.709861537
Sum229825
Variance5187.273195
MonotonicityNot monotonic
2025-03-21T22:39:04.049760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3994
66.6%
1 111
 
1.8%
2 61
 
1.0%
3 31
 
0.5%
4 25
 
0.4%
255 20
 
0.3%
5 18
 
0.3%
7 17
 
0.3%
6 15
 
0.2%
211 14
 
0.2%
Other values (246) 1694
28.2%
ValueCountFrequency (%)
0 3994
66.6%
1 111
 
1.8%
2 61
 
1.0%
3 31
 
0.5%
4 25
 
0.4%
ValueCountFrequency (%)
255 20
0.3%
254 1
 
< 0.1%
253 5
 
0.1%
252 4
 
0.1%
251 4
 
0.1%

164
Real number (ℝ)

Zeros 

Distinct248
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.58816667
Minimum0
Maximum255
Zeros4785
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:04.282416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile185
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.81356226
Coefficient of variation (CV)2.631699261
Kurtosis6.028296072
Mean21.58816667
Median Absolute Deviation (MAD)0
Skewness2.692742945
Sum129529
Variance3227.780857
MonotonicityNot monotonic
2025-03-21T22:39:04.354105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4785
79.8%
1 83
 
1.4%
2 41
 
0.7%
3 36
 
0.6%
255 18
 
0.3%
4 15
 
0.2%
5 12
 
0.2%
37 10
 
0.2%
38 10
 
0.2%
49 10
 
0.2%
Other values (238) 980
 
16.3%
ValueCountFrequency (%)
0 4785
79.8%
1 83
 
1.4%
2 41
 
0.7%
3 36
 
0.6%
4 15
 
0.2%
ValueCountFrequency (%)
255 18
0.3%
254 4
 
0.1%
253 1
 
< 0.1%
250 1
 
< 0.1%
249 4
 
0.1%

165
Real number (ℝ)

Zeros 

Distinct228
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.29833333
Minimum0
Maximum255
Zeros5196
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:04.420287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile123
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.57835674
Coefficient of variation (CV)3.543435973
Kurtosis13.95388559
Mean12.29833333
Median Absolute Deviation (MAD)0
Skewness3.824941302
Sum73790
Variance1899.073176
MonotonicityNot monotonic
2025-03-21T22:39:04.488600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5196
86.6%
1 75
 
1.2%
2 50
 
0.8%
3 31
 
0.5%
4 21
 
0.4%
5 19
 
0.3%
6 12
 
0.2%
201 10
 
0.2%
255 9
 
0.1%
11 7
 
0.1%
Other values (218) 570
 
9.5%
ValueCountFrequency (%)
0 5196
86.6%
1 75
 
1.2%
2 50
 
0.8%
3 31
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
255 9
0.1%
254 1
 
< 0.1%
252 1
 
< 0.1%
250 1
 
< 0.1%
247 1
 
< 0.1%

166
Real number (ℝ)

Zeros 

Distinct180
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3265
Minimum0
Maximum255
Zeros5475
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:04.556429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.82135986
Coefficient of variation (CV)4.871786906
Kurtosis33.14693442
Mean6.3265
Median Absolute Deviation (MAD)0
Skewness5.651035344
Sum37959
Variance949.9562238
MonotonicityNot monotonic
2025-03-21T22:39:04.623533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5475
91.2%
1 74
 
1.2%
2 41
 
0.7%
3 24
 
0.4%
4 17
 
0.3%
5 14
 
0.2%
255 9
 
0.1%
7 8
 
0.1%
6 7
 
0.1%
9 7
 
0.1%
Other values (170) 324
 
5.4%
ValueCountFrequency (%)
0 5475
91.2%
1 74
 
1.2%
2 41
 
0.7%
3 24
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 9
0.1%
254 1
 
< 0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
245 1
 
< 0.1%

167
Real number (ℝ)

Zeros 

Distinct90
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5375
Minimum0
Maximum255
Zeros5747
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:04.690937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.57611308
Coefficient of variation (CV)8.179585743
Kurtosis144.4719428
Mean1.5375
Median Absolute Deviation (MAD)0
Skewness11.05104949
Sum9225
Variance158.1586202
MonotonicityNot monotonic
2025-03-21T22:39:04.761604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5747
95.8%
1 56
 
0.9%
2 28
 
0.5%
3 19
 
0.3%
4 10
 
0.2%
5 8
 
0.1%
61 5
 
0.1%
13 4
 
0.1%
75 4
 
0.1%
6 4
 
0.1%
Other values (80) 115
 
1.9%
ValueCountFrequency (%)
0 5747
95.8%
1 56
 
0.9%
2 28
 
0.5%
3 19
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
226 1
< 0.1%
219 1
< 0.1%
194 1
< 0.1%
179 1
< 0.1%

168
Real number (ℝ)

Skewed  Zeros 

Distinct35
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3228333333
Minimum0
Maximum175
Zeros5903
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:04.821446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum175
Range175
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.43395497
Coefficient of variation (CV)16.83207528
Kurtosis603.7821506
Mean0.3228333333
Median Absolute Deviation (MAD)0
Skewness23.15929113
Sum1937
Variance29.52786662
MonotonicityNot monotonic
2025-03-21T22:39:04.882511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 5903
98.4%
1 35
 
0.6%
3 12
 
0.2%
2 9
 
0.1%
5 4
 
0.1%
7 3
 
0.1%
17 3
 
0.1%
18 2
 
< 0.1%
4 2
 
< 0.1%
25 2
 
< 0.1%
Other values (25) 25
 
0.4%
ValueCountFrequency (%)
0 5903
98.4%
1 35
 
0.6%
2 9
 
0.1%
3 12
 
0.2%
4 2
 
< 0.1%
ValueCountFrequency (%)
175 1
< 0.1%
166 1
< 0.1%
161 1
< 0.1%
125 1
< 0.1%
119 1
< 0.1%

169
Real number (ℝ)

Zeros 

Distinct76
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.635833333
Minimum0
Maximum255
Zeros5838
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:04.948947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.19351478
Coefficient of variation (CV)9.899244899
Kurtosis142.391289
Mean1.635833333
Median Absolute Deviation (MAD)0
Skewness11.56295138
Sum9815
Variance262.229921
MonotonicityNot monotonic
2025-03-21T22:39:05.016861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5838
97.3%
1 28
 
0.5%
3 15
 
0.2%
2 14
 
0.2%
5 11
 
0.2%
6 7
 
0.1%
4 4
 
0.1%
54 3
 
0.1%
26 3
 
0.1%
144 3
 
0.1%
Other values (66) 74
 
1.2%
ValueCountFrequency (%)
0 5838
97.3%
1 28
 
0.5%
2 14
 
0.2%
3 15
 
0.2%
4 4
 
0.1%
ValueCountFrequency (%)
255 2
< 0.1%
253 1
< 0.1%
245 1
< 0.1%
240 1
< 0.1%
236 1
< 0.1%

170
Real number (ℝ)

Zeros 

Distinct138
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.819166667
Minimum0
Maximum253
Zeros5716
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:05.083001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum253
Range253
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.57091277
Coefficient of variation (CV)6.433579603
Kurtosis52.95668315
Mean3.819166667
Median Absolute Deviation (MAD)0
Skewness7.171455486
Sum22915
Variance603.7297543
MonotonicityNot monotonic
2025-03-21T22:39:05.151029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5716
95.3%
1 43
 
0.7%
3 20
 
0.3%
2 15
 
0.2%
4 8
 
0.1%
5 7
 
0.1%
6 5
 
0.1%
195 5
 
0.1%
181 4
 
0.1%
170 4
 
0.1%
Other values (128) 173
 
2.9%
ValueCountFrequency (%)
0 5716
95.3%
1 43
 
0.7%
2 15
 
0.2%
3 20
 
0.3%
4 8
 
0.1%
ValueCountFrequency (%)
253 2
< 0.1%
243 1
< 0.1%
242 1
< 0.1%
237 1
< 0.1%
234 1
< 0.1%

171
Real number (ℝ)

Zeros 

Distinct216
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9765
Minimum0
Maximum255
Zeros5388
Zeros (%)89.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:05.217852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile71.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.19249366
Coefficient of variation (CV)4.031915965
Kurtosis20.34567908
Mean8.9765
Median Absolute Deviation (MAD)0
Skewness4.51132704
Sum53859
Variance1309.896597
MonotonicityNot monotonic
2025-03-21T22:39:05.282697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5388
89.8%
1 48
 
0.8%
2 35
 
0.6%
3 25
 
0.4%
5 13
 
0.2%
4 10
 
0.2%
45 8
 
0.1%
189 7
 
0.1%
65 7
 
0.1%
23 6
 
0.1%
Other values (206) 453
 
7.5%
ValueCountFrequency (%)
0 5388
89.8%
1 48
 
0.8%
2 35
 
0.6%
3 25
 
0.4%
4 10
 
0.2%
ValueCountFrequency (%)
255 3
0.1%
247 1
 
< 0.1%
246 1
 
< 0.1%
245 1
 
< 0.1%
244 2
< 0.1%

172
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.488
Minimum0
Maximum255
Zeros4730
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:05.346503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile186.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.16856929
Coefficient of variation (CV)2.476522875
Kurtosis5.193074442
Mean23.488
Median Absolute Deviation (MAD)0
Skewness2.526004812
Sum140928
Variance3383.582453
MonotonicityNot monotonic
2025-03-21T22:39:05.413372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4730
78.8%
1 62
 
1.0%
2 35
 
0.6%
3 21
 
0.4%
255 15
 
0.2%
4 14
 
0.2%
5 11
 
0.2%
69 10
 
0.2%
19 10
 
0.2%
61 10
 
0.2%
Other values (243) 1082
 
18.0%
ValueCountFrequency (%)
0 4730
78.8%
1 62
 
1.0%
2 35
 
0.6%
3 21
 
0.4%
4 14
 
0.2%
ValueCountFrequency (%)
255 15
0.2%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 3
 
0.1%
251 1
 
< 0.1%

173
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.44233333
Minimum0
Maximum255
Zeros3906
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:05.639792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q372
95-th percentile218
Maximum255
Range255
Interquartile range (IQR)72

Descriptive statistics

Standard deviation76.47409184
Coefficient of variation (CV)1.682882155
Kurtosis0.4269505362
Mean45.44233333
Median Absolute Deviation (MAD)0
Skewness1.411171654
Sum272654
Variance5848.286722
MonotonicityNot monotonic
2025-03-21T22:39:05.704944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3906
65.1%
1 45
 
0.8%
2 27
 
0.4%
202 21
 
0.4%
213 21
 
0.4%
217 18
 
0.3%
3 18
 
0.3%
225 17
 
0.3%
173 15
 
0.2%
4 15
 
0.2%
Other values (244) 1897
31.6%
ValueCountFrequency (%)
0 3906
65.1%
1 45
 
0.8%
2 27
 
0.4%
3 18
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 13
0.2%
252 1
 
< 0.1%
251 2
 
< 0.1%
250 3
 
0.1%
249 3
 
0.1%

174
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.33683333
Minimum0
Maximum255
Zeros3421
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:05.769312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3141
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation86.58304191
Coefficient of variation (CV)1.367025116
Kurtosis-0.8491037751
Mean63.33683333
Median Absolute Deviation (MAD)0
Skewness0.9005113243
Sum380021
Variance7496.623147
MonotonicityNot monotonic
2025-03-21T22:39:05.838884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3421
57.0%
1 36
 
0.6%
214 28
 
0.5%
218 26
 
0.4%
206 26
 
0.4%
2 25
 
0.4%
210 24
 
0.4%
187 22
 
0.4%
199 21
 
0.4%
216 21
 
0.4%
Other values (246) 2350
39.2%
ValueCountFrequency (%)
0 3421
57.0%
1 36
 
0.6%
2 25
 
0.4%
3 11
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 16
0.3%
254 6
 
0.1%
253 6
 
0.1%
252 3
 
0.1%
251 7
0.1%

175
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.0495
Minimum0
Maximum255
Zeros3014
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:05.906819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3165
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)165

Descriptive statistics

Standard deviation89.46531017
Coefficient of variation (CV)1.208182502
Kurtosis-1.262679223
Mean74.0495
Median Absolute Deviation (MAD)0
Skewness0.647600217
Sum444297
Variance8004.041723
MonotonicityNot monotonic
2025-03-21T22:39:05.974896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3014
50.2%
219 33
 
0.5%
223 32
 
0.5%
1 32
 
0.5%
233 31
 
0.5%
216 30
 
0.5%
228 29
 
0.5%
210 28
 
0.5%
205 27
 
0.4%
230 27
 
0.4%
Other values (246) 2717
45.3%
ValueCountFrequency (%)
0 3014
50.2%
1 32
 
0.5%
2 19
 
0.3%
3 27
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
255 17
0.3%
254 5
 
0.1%
253 5
 
0.1%
252 1
 
< 0.1%
251 3
 
0.1%

176
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.51433333
Minimum0
Maximum255
Zeros2653
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:06.044851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39
Q3176
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation90.67273599
Coefficient of variation (CV)1.098872551
Kurtosis-1.434112103
Mean82.51433333
Median Absolute Deviation (MAD)39
Skewness0.478919544
Sum495086
Variance8221.545052
MonotonicityNot monotonic
2025-03-21T22:39:06.115487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2653
44.2%
1 56
 
0.9%
226 35
 
0.6%
221 34
 
0.6%
227 32
 
0.5%
201 31
 
0.5%
205 30
 
0.5%
218 30
 
0.5%
210 29
 
0.5%
223 29
 
0.5%
Other values (246) 3041
50.7%
ValueCountFrequency (%)
0 2653
44.2%
1 56
 
0.9%
2 27
 
0.4%
3 28
 
0.5%
4 15
 
0.2%
ValueCountFrequency (%)
255 22
0.4%
254 3
 
0.1%
253 5
 
0.1%
252 11
0.2%
251 5
 
0.1%

177
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.21066667
Minimum0
Maximum255
Zeros2076
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:06.182849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3187
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation90.81059619
Coefficient of variation (CV)0.9341628785
Kurtosis-1.581233822
Mean97.21066667
Median Absolute Deviation (MAD)92
Skewness0.1953395708
Sum583264
Variance8246.56438
MonotonicityNot monotonic
2025-03-21T22:39:06.246478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2076
34.6%
1 87
 
1.5%
221 42
 
0.7%
217 41
 
0.7%
255 40
 
0.7%
213 40
 
0.7%
2 39
 
0.7%
204 37
 
0.6%
224 35
 
0.6%
210 35
 
0.6%
Other values (246) 3528
58.8%
ValueCountFrequency (%)
0 2076
34.6%
1 87
 
1.5%
2 39
 
0.7%
3 14
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 40
0.7%
254 7
 
0.1%
253 4
 
0.1%
252 8
 
0.1%
251 5
 
0.1%

178
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.251
Minimum0
Maximum255
Zeros1884
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:06.309544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106.5
Q3194
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation91.33980782
Coefficient of variation (CV)0.8761528217
Kurtosis-1.596664716
Mean104.251
Median Absolute Deviation (MAD)104.5
Skewness0.08752468021
Sum625506
Variance8342.960492
MonotonicityNot monotonic
2025-03-21T22:39:06.374080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1884
31.4%
1 62
 
1.0%
255 60
 
1.0%
222 44
 
0.7%
212 39
 
0.7%
202 39
 
0.7%
218 36
 
0.6%
208 34
 
0.6%
201 34
 
0.6%
221 34
 
0.6%
Other values (246) 3734
62.2%
ValueCountFrequency (%)
0 1884
31.4%
1 62
 
1.0%
2 30
 
0.5%
3 18
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 60
1.0%
254 18
 
0.3%
253 7
 
0.1%
252 9
 
0.1%
251 5
 
0.1%

179
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.112
Minimum0
Maximum255
Zeros1773
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:06.438535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3193
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation89.82167581
Coefficient of variation (CV)0.8545330296
Kurtosis-1.595954773
Mean105.112
Median Absolute Deviation (MAD)101
Skewness0.04784657948
Sum630672
Variance8067.933445
MonotonicityNot monotonic
2025-03-21T22:39:06.502984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1773
29.5%
1 62
 
1.0%
216 48
 
0.8%
220 46
 
0.8%
223 45
 
0.8%
211 42
 
0.7%
228 39
 
0.7%
219 39
 
0.7%
209 38
 
0.6%
233 38
 
0.6%
Other values (246) 3830
63.8%
ValueCountFrequency (%)
0 1773
29.5%
1 62
 
1.0%
2 32
 
0.5%
3 37
 
0.6%
4 14
 
0.2%
ValueCountFrequency (%)
255 30
0.5%
254 5
 
0.1%
253 7
 
0.1%
252 3
 
0.1%
251 5
 
0.1%

180
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.987
Minimum0
Maximum255
Zeros1746
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:06.566668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation90.65056951
Coefficient of variation (CV)0.8552989471
Kurtosis-1.61372098
Mean105.987
Median Absolute Deviation (MAD)100.5
Skewness0.04214357834
Sum635922
Variance8217.525752
MonotonicityNot monotonic
2025-03-21T22:39:06.634005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1746
29.1%
1 72
 
1.2%
228 51
 
0.9%
2 44
 
0.7%
224 43
 
0.7%
215 43
 
0.7%
230 43
 
0.7%
221 42
 
0.7%
213 41
 
0.7%
225 41
 
0.7%
Other values (245) 3834
63.9%
ValueCountFrequency (%)
0 1746
29.1%
1 72
 
1.2%
2 44
 
0.7%
3 26
 
0.4%
4 20
 
0.3%
ValueCountFrequency (%)
255 28
0.5%
254 5
 
0.1%
253 4
 
0.1%
252 3
 
0.1%
251 6
 
0.1%

181
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.9856667
Minimum0
Maximum255
Zeros1624
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:06.697976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median121
Q3199
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation90.95270123
Coefficient of variation (CV)0.8269504926
Kurtosis-1.61576733
Mean109.9856667
Median Absolute Deviation (MAD)94
Skewness-0.02971228621
Sum659914
Variance8272.39386
MonotonicityNot monotonic
2025-03-21T22:39:06.767639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1624
27.1%
1 90
 
1.5%
2 59
 
1.0%
228 56
 
0.9%
229 49
 
0.8%
224 47
 
0.8%
206 45
 
0.8%
204 43
 
0.7%
216 42
 
0.7%
221 42
 
0.7%
Other values (246) 3903
65.0%
ValueCountFrequency (%)
0 1624
27.1%
1 90
 
1.5%
2 59
 
1.0%
3 39
 
0.7%
4 20
 
0.3%
ValueCountFrequency (%)
255 25
0.4%
254 7
 
0.1%
253 5
 
0.1%
252 6
 
0.1%
251 4
 
0.1%

182
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.9428333
Minimum0
Maximum255
Zeros1553
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:06.835818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median130
Q3202
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation91.03137198
Coefficient of variation (CV)0.7919708375
Kurtosis-1.588000864
Mean114.9428333
Median Absolute Deviation (MAD)86.5
Skewness-0.1029060942
Sum689657
Variance8286.710684
MonotonicityNot monotonic
2025-03-21T22:39:07.096140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1553
 
25.9%
1 69
 
1.1%
225 58
 
1.0%
255 48
 
0.8%
227 48
 
0.8%
211 47
 
0.8%
231 46
 
0.8%
232 45
 
0.8%
212 45
 
0.8%
213 44
 
0.7%
Other values (245) 3997
66.6%
ValueCountFrequency (%)
0 1553
25.9%
1 69
 
1.1%
2 38
 
0.6%
3 28
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
255 48
0.8%
254 12
 
0.2%
253 6
 
0.1%
252 11
 
0.2%
251 6
 
0.1%

183
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.0378333
Minimum0
Maximum255
Zeros1451
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:07.170403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median133
Q3203
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation89.79785453
Coefficient of variation (CV)0.7672549292
Kurtosis-1.555417386
Mean117.0378333
Median Absolute Deviation (MAD)83
Skewness-0.1402377373
Sum702227
Variance8063.654678
MonotonicityNot monotonic
2025-03-21T22:39:07.238716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1451
 
24.2%
228 50
 
0.8%
221 49
 
0.8%
1 48
 
0.8%
225 47
 
0.8%
215 45
 
0.8%
213 44
 
0.7%
219 44
 
0.7%
224 44
 
0.7%
229 44
 
0.7%
Other values (246) 4134
68.9%
ValueCountFrequency (%)
0 1451
24.2%
1 48
 
0.8%
2 26
 
0.4%
3 22
 
0.4%
4 22
 
0.4%
ValueCountFrequency (%)
255 33
0.5%
254 10
 
0.2%
253 4
 
0.1%
252 6
 
0.1%
251 7
 
0.1%

184
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.766
Minimum0
Maximum255
Zeros1327
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:07.303905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median136
Q3201
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation87.28481168
Coefficient of variation (CV)0.7287945801
Kurtosis-1.487546113
Mean119.766
Median Absolute Deviation (MAD)77
Skewness-0.2063665711
Sum718596
Variance7618.63835
MonotonicityNot monotonic
2025-03-21T22:39:07.369916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1327
 
22.1%
219 53
 
0.9%
212 46
 
0.8%
213 46
 
0.8%
222 44
 
0.7%
220 44
 
0.7%
209 44
 
0.7%
204 44
 
0.7%
232 42
 
0.7%
225 42
 
0.7%
Other values (246) 4268
71.1%
ValueCountFrequency (%)
0 1327
22.1%
1 38
 
0.6%
2 17
 
0.3%
3 21
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
255 23
0.4%
254 6
 
0.1%
253 5
 
0.1%
252 7
 
0.1%
251 3
 
0.1%

185
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.518
Minimum0
Maximum255
Zeros1303
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:07.433413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median137
Q3201
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation86.89308993
Coefficient of variation (CV)0.72099678
Kurtosis-1.469887196
Mean120.518
Median Absolute Deviation (MAD)76
Skewness-0.2146780972
Sum723108
Variance7550.409078
MonotonicityNot monotonic
2025-03-21T22:39:07.505366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1303
 
21.7%
218 52
 
0.9%
221 48
 
0.8%
214 47
 
0.8%
224 47
 
0.8%
211 45
 
0.8%
207 45
 
0.8%
206 43
 
0.7%
223 42
 
0.7%
222 42
 
0.7%
Other values (246) 4286
71.4%
ValueCountFrequency (%)
0 1303
21.7%
1 32
 
0.5%
2 17
 
0.3%
3 11
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 38
0.6%
254 10
 
0.2%
253 6
 
0.1%
252 8
 
0.1%
251 5
 
0.1%

186
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.3688333
Minimum0
Maximum255
Zeros1357
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:07.573613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median133
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation87.39126768
Coefficient of variation (CV)0.7382962662
Kurtosis-1.486097684
Mean118.3688333
Median Absolute Deviation (MAD)79
Skewness-0.1630519141
Sum710213
Variance7637.233668
MonotonicityNot monotonic
2025-03-21T22:39:07.639908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1357
 
22.6%
216 48
 
0.8%
209 45
 
0.8%
255 45
 
0.8%
219 44
 
0.7%
202 42
 
0.7%
218 41
 
0.7%
215 40
 
0.7%
206 39
 
0.7%
230 39
 
0.7%
Other values (246) 4260
71.0%
ValueCountFrequency (%)
0 1357
22.6%
1 31
 
0.5%
2 15
 
0.2%
3 13
 
0.2%
4 15
 
0.2%
ValueCountFrequency (%)
255 45
0.8%
254 5
 
0.1%
253 7
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

187
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.5275
Minimum0
Maximum255
Zeros1638
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:07.703235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118
Q3195
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation88.85195565
Coefficient of variation (CV)0.8112296514
Kurtosis-1.554178807
Mean109.5275
Median Absolute Deviation (MAD)90
Skewness-0.01582750612
Sum657165
Variance7894.670022
MonotonicityNot monotonic
2025-03-21T22:39:07.769373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1638
27.3%
205 44
 
0.7%
219 43
 
0.7%
211 43
 
0.7%
222 42
 
0.7%
220 41
 
0.7%
216 40
 
0.7%
224 38
 
0.6%
208 38
 
0.6%
225 37
 
0.6%
Other values (246) 3996
66.6%
ValueCountFrequency (%)
0 1638
27.3%
1 36
 
0.6%
2 21
 
0.4%
3 13
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 34
0.6%
254 8
 
0.1%
253 4
 
0.1%
252 3
 
0.1%
251 7
 
0.1%

188
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.18083333
Minimum0
Maximum255
Zeros2189
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:07.833174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median78
Q3188.25
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)188.25

Descriptive statistics

Standard deviation91.47332778
Coefficient of variation (CV)0.9712520535
Kurtosis-1.578197411
Mean94.18083333
Median Absolute Deviation (MAD)78
Skewness0.2631039551
Sum565085
Variance8367.369694
MonotonicityNot monotonic
2025-03-21T22:39:07.894791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2189
36.5%
1 51
 
0.9%
212 39
 
0.7%
207 39
 
0.7%
219 38
 
0.6%
225 38
 
0.6%
222 37
 
0.6%
211 37
 
0.6%
213 36
 
0.6%
226 34
 
0.6%
Other values (246) 3462
57.7%
ValueCountFrequency (%)
0 2189
36.5%
1 51
 
0.9%
2 34
 
0.6%
3 18
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 29
0.5%
254 7
 
0.1%
253 4
 
0.1%
252 8
 
0.1%
251 3
 
0.1%

189
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.81816667
Minimum0
Maximum255
Zeros2577
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:07.958118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median42
Q3179
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation91.13490933
Coefficient of variation (CV)1.087293041
Kurtosis-1.444725987
Mean83.81816667
Median Absolute Deviation (MAD)42
Skewness0.4642506408
Sum502909
Variance8305.571699
MonotonicityNot monotonic
2025-03-21T22:39:08.022635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2577
43.0%
1 58
 
1.0%
215 37
 
0.6%
255 35
 
0.6%
219 32
 
0.5%
222 31
 
0.5%
233 31
 
0.5%
2 30
 
0.5%
228 30
 
0.5%
211 30
 
0.5%
Other values (246) 3109
51.8%
ValueCountFrequency (%)
0 2577
43.0%
1 58
 
1.0%
2 30
 
0.5%
3 24
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 35
0.6%
254 4
 
0.1%
253 1
 
< 0.1%
252 3
 
0.1%
251 6
 
0.1%

190
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.41366667
Minimum0
Maximum255
Zeros3024
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:08.084730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3154
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)154

Descriptive statistics

Standard deviation88.02907322
Coefficient of variation (CV)1.268180712
Kurtosis-1.040430744
Mean69.41366667
Median Absolute Deviation (MAD)0
Skewness0.7797342718
Sum416482
Variance7749.117733
MonotonicityNot monotonic
2025-03-21T22:39:08.148008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3024
50.4%
1 56
 
0.9%
2 38
 
0.6%
221 25
 
0.4%
220 24
 
0.4%
222 24
 
0.4%
229 24
 
0.4%
255 23
 
0.4%
227 23
 
0.4%
201 22
 
0.4%
Other values (246) 2717
45.3%
ValueCountFrequency (%)
0 3024
50.4%
1 56
 
0.9%
2 38
 
0.6%
3 22
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 23
0.4%
254 9
 
0.1%
253 4
 
0.1%
252 3
 
0.1%
251 2
 
< 0.1%

191
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.19266667
Minimum0
Maximum255
Zeros3676
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:08.208623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)78

Descriptive statistics

Standard deviation78.44991573
Coefficient of variation (CV)1.627839278
Kurtosis0.2634500876
Mean48.19266667
Median Absolute Deviation (MAD)0
Skewness1.354247964
Sum289156
Variance6154.389278
MonotonicityNot monotonic
2025-03-21T22:39:08.269228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3676
61.3%
1 76
 
1.3%
2 45
 
0.8%
3 25
 
0.4%
255 20
 
0.3%
5 18
 
0.3%
232 18
 
0.3%
203 17
 
0.3%
214 17
 
0.3%
209 17
 
0.3%
Other values (246) 2071
34.5%
ValueCountFrequency (%)
0 3676
61.3%
1 76
 
1.3%
2 45
 
0.8%
3 25
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
255 20
0.3%
254 3
 
0.1%
253 2
 
< 0.1%
252 3
 
0.1%
251 2
 
< 0.1%

192
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.08916667
Minimum0
Maximum255
Zeros4494
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:08.465031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile203
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation65.97630909
Coefficient of variation (CV)2.192693132
Kurtosis2.870316168
Mean30.08916667
Median Absolute Deviation (MAD)0
Skewness2.082674243
Sum180535
Variance4352.873362
MonotonicityNot monotonic
2025-03-21T22:39:08.527258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4494
74.9%
1 68
 
1.1%
2 34
 
0.6%
3 26
 
0.4%
4 23
 
0.4%
193 14
 
0.2%
255 14
 
0.2%
202 14
 
0.2%
199 12
 
0.2%
9 12
 
0.2%
Other values (245) 1289
 
21.5%
ValueCountFrequency (%)
0 4494
74.9%
1 68
 
1.1%
2 34
 
0.6%
3 26
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 14
0.2%
254 3
 
0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

193
Real number (ℝ)

Zeros 

Distinct242
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.3925
Minimum0
Maximum255
Zeros4922
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:08.588723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile177
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54.28869423
Coefficient of variation (CV)2.799468569
Kurtosis6.803185215
Mean19.3925
Median Absolute Deviation (MAD)0
Skewness2.836483902
Sum116355
Variance2947.262321
MonotonicityNot monotonic
2025-03-21T22:39:08.655250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4922
82.0%
1 76
 
1.3%
2 49
 
0.8%
3 28
 
0.5%
5 19
 
0.3%
4 17
 
0.3%
255 10
 
0.2%
178 10
 
0.2%
182 9
 
0.1%
195 9
 
0.1%
Other values (232) 851
 
14.2%
ValueCountFrequency (%)
0 4922
82.0%
1 76
 
1.3%
2 49
 
0.8%
3 28
 
0.5%
4 17
 
0.3%
ValueCountFrequency (%)
255 10
0.2%
254 2
 
< 0.1%
253 5
0.1%
251 1
 
< 0.1%
249 1
 
< 0.1%

194
Real number (ℝ)

Zeros 

Distinct224
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.018
Minimum0
Maximum255
Zeros5287
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:08.724154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile88
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.38863057
Coefficient of variation (CV)3.831965519
Kurtosis18.32955668
Mean10.018
Median Absolute Deviation (MAD)0
Skewness4.292688583
Sum60108
Variance1473.686957
MonotonicityNot monotonic
2025-03-21T22:39:08.793240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5287
88.1%
1 71
 
1.2%
2 45
 
0.8%
3 29
 
0.5%
4 12
 
0.2%
6 11
 
0.2%
5 11
 
0.2%
26 8
 
0.1%
19 8
 
0.1%
131 7
 
0.1%
Other values (214) 511
 
8.5%
ValueCountFrequency (%)
0 5287
88.1%
1 71
 
1.2%
2 45
 
0.8%
3 29
 
0.5%
4 12
 
0.2%
ValueCountFrequency (%)
255 7
0.1%
250 1
 
< 0.1%
249 1
 
< 0.1%
247 1
 
< 0.1%
245 1
 
< 0.1%

195
Real number (ℝ)

Zeros 

Distinct105
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.967166667
Minimum0
Maximum203
Zeros5682
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:08.861062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum203
Range203
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.76305413
Coefficient of variation (CV)6.996384374
Kurtosis90.45209322
Mean1.967166667
Median Absolute Deviation (MAD)0
Skewness8.966473535
Sum11803
Variance189.4216589
MonotonicityNot monotonic
2025-03-21T22:39:08.930452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5682
94.7%
1 68
 
1.1%
2 32
 
0.5%
4 16
 
0.3%
3 11
 
0.2%
5 10
 
0.2%
36 7
 
0.1%
7 6
 
0.1%
6 6
 
0.1%
22 6
 
0.1%
Other values (95) 156
 
2.6%
ValueCountFrequency (%)
0 5682
94.7%
1 68
 
1.1%
2 32
 
0.5%
3 11
 
0.2%
4 16
 
0.3%
ValueCountFrequency (%)
203 1
< 0.1%
198 1
< 0.1%
191 1
< 0.1%
187 1
< 0.1%
185 1
< 0.1%

196
Real number (ℝ)

Zeros 

Distinct52
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6943333333
Minimum0
Maximum198
Zeros5860
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:09.000135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum198
Range198
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.664299139
Coefficient of variation (CV)12.47858733
Kurtosis284.2486622
Mean0.6943333333
Median Absolute Deviation (MAD)0
Skewness16.09594693
Sum4166
Variance75.07007957
MonotonicityNot monotonic
2025-03-21T22:39:09.074509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5860
97.7%
1 33
 
0.5%
2 17
 
0.3%
3 17
 
0.3%
5 6
 
0.1%
6 5
 
0.1%
4 4
 
0.1%
31 2
 
< 0.1%
10 2
 
< 0.1%
14 2
 
< 0.1%
Other values (42) 52
 
0.9%
ValueCountFrequency (%)
0 5860
97.7%
1 33
 
0.5%
2 17
 
0.3%
3 17
 
0.3%
4 4
 
0.1%
ValueCountFrequency (%)
198 1
< 0.1%
190 1
< 0.1%
175 1
< 0.1%
173 1
< 0.1%
167 1
< 0.1%

197
Real number (ℝ)

Zeros 

Distinct106
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.252666667
Minimum0
Maximum255
Zeros5794
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:09.150180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.94604581
Coefficient of variation (CV)8.410496806
Kurtosis102.786002
Mean2.252666667
Median Absolute Deviation (MAD)0
Skewness9.857113505
Sum13516
Variance358.9526517
MonotonicityNot monotonic
2025-03-21T22:39:09.219571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5794
96.6%
1 28
 
0.5%
2 20
 
0.3%
4 16
 
0.3%
3 13
 
0.2%
5 6
 
0.1%
240 3
 
0.1%
93 3
 
0.1%
10 3
 
0.1%
25 3
 
0.1%
Other values (96) 111
 
1.8%
ValueCountFrequency (%)
0 5794
96.6%
1 28
 
0.5%
2 20
 
0.3%
3 13
 
0.2%
4 16
 
0.3%
ValueCountFrequency (%)
255 2
< 0.1%
243 1
 
< 0.1%
241 1
 
< 0.1%
240 3
0.1%
239 1
 
< 0.1%

198
Real number (ℝ)

Zeros 

Distinct177
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.179833333
Minimum0
Maximum254
Zeros5648
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:09.286224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.05
Maximum254
Range254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.59848724
Coefficient of variation (CV)5.521121124
Kurtosis37.48912411
Mean5.179833333
Median Absolute Deviation (MAD)0
Skewness6.083399505
Sum31079
Variance817.8734722
MonotonicityNot monotonic
2025-03-21T22:39:09.354368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5648
94.1%
1 37
 
0.6%
3 16
 
0.3%
2 15
 
0.2%
4 10
 
0.2%
5 10
 
0.2%
6 5
 
0.1%
20 5
 
0.1%
178 4
 
0.1%
14 4
 
0.1%
Other values (167) 246
 
4.1%
ValueCountFrequency (%)
0 5648
94.1%
1 37
 
0.6%
2 15
 
0.2%
3 16
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
254 1
< 0.1%
247 2
< 0.1%
246 1
< 0.1%
241 1
< 0.1%
238 1
< 0.1%

199
Real number (ℝ)

Zeros 

Distinct227
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.97133333
Minimum0
Maximum255
Zeros5281
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:09.422406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile114
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.42363499
Coefficient of variation (CV)3.543768585
Kurtosis14.05518256
Mean11.97133333
Median Absolute Deviation (MAD)0
Skewness3.833704827
Sum71828
Variance1799.764806
MonotonicityNot monotonic
2025-03-21T22:39:09.490932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5281
88.0%
1 52
 
0.9%
3 24
 
0.4%
2 23
 
0.4%
4 12
 
0.2%
5 11
 
0.2%
6 9
 
0.1%
221 9
 
0.1%
216 7
 
0.1%
203 7
 
0.1%
Other values (217) 565
 
9.4%
ValueCountFrequency (%)
0 5281
88.0%
1 52
 
0.9%
2 23
 
0.4%
3 24
 
0.4%
4 12
 
0.2%
ValueCountFrequency (%)
255 3
0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
248 1
 
< 0.1%
247 1
 
< 0.1%

200
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.66483333
Minimum0
Maximum255
Zeros4579
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:09.556520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile199
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.80020826
Coefficient of variation (CV)2.225731004
Kurtosis3.301361386
Mean28.66483333
Median Absolute Deviation (MAD)0
Skewness2.157963395
Sum171989
Variance4070.466574
MonotonicityNot monotonic
2025-03-21T22:39:09.622953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4579
76.3%
1 43
 
0.7%
2 36
 
0.6%
4 19
 
0.3%
3 19
 
0.3%
255 13
 
0.2%
183 13
 
0.2%
206 10
 
0.2%
219 10
 
0.2%
199 10
 
0.2%
Other values (243) 1248
 
20.8%
ValueCountFrequency (%)
0 4579
76.3%
1 43
 
0.7%
2 36
 
0.6%
3 19
 
0.3%
4 19
 
0.3%
ValueCountFrequency (%)
255 13
0.2%
254 5
 
0.1%
253 3
 
0.1%
252 1
 
< 0.1%
251 3
 
0.1%

201
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.10666667
Minimum0
Maximum255
Zeros3765
Zeros (%)62.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:09.685948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q398
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation80.2040153
Coefficient of variation (CV)1.56934546
Kurtosis-0.0851674276
Mean51.10666667
Median Absolute Deviation (MAD)0
Skewness1.232096156
Sum306640
Variance6432.68407
MonotonicityNot monotonic
2025-03-21T22:39:09.916301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3765
62.7%
1 27
 
0.4%
2 25
 
0.4%
187 20
 
0.3%
213 19
 
0.3%
223 18
 
0.3%
186 18
 
0.3%
195 17
 
0.3%
207 17
 
0.3%
221 17
 
0.3%
Other values (246) 2057
34.3%
ValueCountFrequency (%)
0 3765
62.7%
1 27
 
0.4%
2 25
 
0.4%
3 13
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 13
0.2%
254 1
 
< 0.1%
253 4
 
0.1%
252 4
 
0.1%
251 2
 
< 0.1%

202
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.716
Minimum0
Maximum255
Zeros3327
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:09.981729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3157
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)157

Descriptive statistics

Standard deviation89.47752073
Coefficient of variation (CV)1.302135176
Kurtosis-1.092584518
Mean68.716
Median Absolute Deviation (MAD)0
Skewness0.7764219396
Sum412296
Variance8006.226715
MonotonicityNot monotonic
2025-03-21T22:39:10.049084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3327
55.5%
215 35
 
0.6%
1 30
 
0.5%
231 27
 
0.4%
218 27
 
0.4%
224 26
 
0.4%
209 26
 
0.4%
208 26
 
0.4%
181 25
 
0.4%
226 25
 
0.4%
Other values (246) 2426
40.4%
ValueCountFrequency (%)
0 3327
55.5%
1 30
 
0.5%
2 18
 
0.3%
3 11
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 23
0.4%
254 6
 
0.1%
253 7
 
0.1%
252 4
 
0.1%
251 1
 
< 0.1%

203
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.28233333
Minimum0
Maximum255
Zeros2938
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:10.119357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3177
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)177

Descriptive statistics

Standard deviation92.11977509
Coefficient of variation (CV)1.161920585
Kurtosis-1.411779105
Mean79.28233333
Median Absolute Deviation (MAD)3
Skewness0.5453451435
Sum475694
Variance8486.052963
MonotonicityNot monotonic
2025-03-21T22:39:10.189449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2938
49.0%
1 41
 
0.7%
220 37
 
0.6%
221 35
 
0.6%
218 35
 
0.6%
233 30
 
0.5%
213 30
 
0.5%
216 30
 
0.5%
212 29
 
0.5%
206 29
 
0.5%
Other values (246) 2766
46.1%
ValueCountFrequency (%)
0 2938
49.0%
1 41
 
0.7%
2 18
 
0.3%
3 19
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 23
0.4%
254 5
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 5
 
0.1%

204
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.63783333
Minimum0
Maximum255
Zeros2540
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:10.257313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median51
Q3180
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)180

Descriptive statistics

Standard deviation91.56042206
Coefficient of variation (CV)1.069158554
Kurtosis-1.490124039
Mean85.63783333
Median Absolute Deviation (MAD)51
Skewness0.4203982197
Sum513827
Variance8383.310887
MonotonicityNot monotonic
2025-03-21T22:39:10.326065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2540
42.3%
1 92
 
1.5%
2 45
 
0.8%
255 36
 
0.6%
195 32
 
0.5%
219 31
 
0.5%
200 31
 
0.5%
233 31
 
0.5%
222 30
 
0.5%
205 30
 
0.5%
Other values (246) 3102
51.7%
ValueCountFrequency (%)
0 2540
42.3%
1 92
 
1.5%
2 45
 
0.8%
3 21
 
0.4%
4 10
 
0.2%
ValueCountFrequency (%)
255 36
0.6%
254 2
 
< 0.1%
253 8
 
0.1%
252 5
 
0.1%
251 2
 
< 0.1%

205
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.094
Minimum0
Maximum255
Zeros1898
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:10.393826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median93
Q3188
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation90.59893225
Coefficient of variation (CV)0.9235930052
Kurtosis-1.58389706
Mean98.094
Median Absolute Deviation (MAD)93
Skewness0.1805610839
Sum588564
Variance8208.166525
MonotonicityNot monotonic
2025-03-21T22:39:10.458174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1898
31.6%
1 154
 
2.6%
2 61
 
1.0%
255 46
 
0.8%
221 37
 
0.6%
216 36
 
0.6%
197 35
 
0.6%
225 35
 
0.6%
219 34
 
0.6%
208 34
 
0.6%
Other values (246) 3630
60.5%
ValueCountFrequency (%)
0 1898
31.6%
1 154
 
2.6%
2 61
 
1.0%
3 24
 
0.4%
4 26
 
0.4%
ValueCountFrequency (%)
255 46
0.8%
254 8
 
0.1%
253 7
 
0.1%
252 7
 
0.1%
251 6
 
0.1%

206
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.5885
Minimum0
Maximum255
Zeros1784
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:10.524180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median108
Q3194
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation90.82099928
Coefficient of variation (CV)0.8601410123
Kurtosis-1.587220046
Mean105.5885
Median Absolute Deviation (MAD)102
Skewness0.05926131878
Sum633531
Variance8248.45391
MonotonicityNot monotonic
2025-03-21T22:39:10.592979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1784
29.7%
1 100
 
1.7%
255 67
 
1.1%
222 48
 
0.8%
221 44
 
0.7%
223 39
 
0.7%
2 38
 
0.6%
214 38
 
0.6%
195 37
 
0.6%
197 36
 
0.6%
Other values (246) 3769
62.8%
ValueCountFrequency (%)
0 1784
29.7%
1 100
 
1.7%
2 38
 
0.6%
3 25
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 67
1.1%
254 10
 
0.2%
253 12
 
0.2%
252 7
 
0.1%
251 6
 
0.1%

207
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.6553333
Minimum0
Maximum255
Zeros1703
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:10.658990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3194
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation89.41036055
Coefficient of variation (CV)0.8383112007
Kurtosis-1.581416009
Mean106.6553333
Median Absolute Deviation (MAD)96
Skewness0.01824125409
Sum639932
Variance7994.212574
MonotonicityNot monotonic
2025-03-21T22:39:10.727802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1703
28.4%
1 77
 
1.3%
2 45
 
0.8%
209 42
 
0.7%
220 41
 
0.7%
223 40
 
0.7%
199 39
 
0.7%
221 39
 
0.7%
217 39
 
0.7%
196 38
 
0.6%
Other values (245) 3897
65.0%
ValueCountFrequency (%)
0 1703
28.4%
1 77
 
1.3%
2 45
 
0.8%
3 31
 
0.5%
4 26
 
0.4%
ValueCountFrequency (%)
255 31
0.5%
254 3
 
0.1%
253 5
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

208
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.4525
Minimum0
Maximum255
Zeros1646
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:10.796804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3196
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation90.2868726
Coefficient of variation (CV)0.8402491575
Kurtosis-1.609620551
Mean107.4525
Median Absolute Deviation (MAD)97
Skewness0.01265171038
Sum644715
Variance8151.719364
MonotonicityNot monotonic
2025-03-21T22:39:10.866190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1646
27.4%
1 83
 
1.4%
2 65
 
1.1%
218 47
 
0.8%
223 42
 
0.7%
211 42
 
0.7%
204 41
 
0.7%
217 41
 
0.7%
228 41
 
0.7%
209 41
 
0.7%
Other values (246) 3911
65.2%
ValueCountFrequency (%)
0 1646
27.4%
1 83
 
1.4%
2 65
 
1.1%
3 35
 
0.6%
4 24
 
0.4%
ValueCountFrequency (%)
255 26
0.4%
254 7
 
0.1%
253 8
 
0.1%
252 4
 
0.1%
251 3
 
0.1%

209
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.0526667
Minimum0
Maximum255
Zeros1409
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:10.933778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median123.5
Q3199
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation90.09462285
Coefficient of variation (CV)0.8040381861
Kurtosis-1.586975522
Mean112.0526667
Median Absolute Deviation (MAD)89.5
Skewness-0.06112501294
Sum672316
Variance8117.041066
MonotonicityNot monotonic
2025-03-21T22:39:11.003127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1409
 
23.5%
1 104
 
1.7%
2 86
 
1.4%
3 70
 
1.2%
209 48
 
0.8%
228 45
 
0.8%
229 45
 
0.8%
219 44
 
0.7%
230 43
 
0.7%
213 43
 
0.7%
Other values (246) 4063
67.7%
ValueCountFrequency (%)
0 1409
23.5%
1 104
 
1.7%
2 86
 
1.4%
3 70
 
1.2%
4 42
 
0.7%
ValueCountFrequency (%)
255 37
0.6%
254 9
 
0.1%
253 9
 
0.1%
252 3
 
0.1%
251 7
 
0.1%

210
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.5051667
Minimum0
Maximum255
Zeros1382
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:11.074502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median132
Q3201
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation89.34076674
Coefficient of variation (CV)0.7668395256
Kurtosis-1.544929914
Mean116.5051667
Median Absolute Deviation (MAD)82
Skewness-0.1283892923
Sum699031
Variance7981.772602
MonotonicityNot monotonic
2025-03-21T22:39:11.141297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1382
 
23.0%
1 69
 
1.1%
255 55
 
0.9%
2 52
 
0.9%
228 47
 
0.8%
225 46
 
0.8%
187 44
 
0.7%
230 44
 
0.7%
207 42
 
0.7%
218 42
 
0.7%
Other values (246) 4177
69.6%
ValueCountFrequency (%)
0 1382
23.0%
1 69
 
1.1%
2 52
 
0.9%
3 29
 
0.5%
4 28
 
0.5%
ValueCountFrequency (%)
255 55
0.9%
254 11
 
0.2%
253 8
 
0.1%
252 12
 
0.2%
251 3
 
0.1%

211
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.9391667
Minimum0
Maximum255
Zeros1227
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:11.205727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.75
median142
Q3206
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)184.25

Descriptive statistics

Standard deviation88.58078926
Coefficient of variation (CV)0.7205253757
Kurtosis-1.484354825
Mean122.9391667
Median Absolute Deviation (MAD)76
Skewness-0.2240934597
Sum737635
Variance7846.556225
MonotonicityNot monotonic
2025-03-21T22:39:11.423462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1227
 
20.4%
255 60
 
1.0%
213 58
 
1.0%
1 50
 
0.8%
219 50
 
0.8%
217 50
 
0.8%
222 49
 
0.8%
220 49
 
0.8%
224 47
 
0.8%
216 47
 
0.8%
Other values (246) 4313
71.9%
ValueCountFrequency (%)
0 1227
20.4%
1 50
 
0.8%
2 39
 
0.7%
3 19
 
0.3%
4 16
 
0.3%
ValueCountFrequency (%)
255 60
1.0%
254 10
 
0.2%
253 15
 
0.2%
252 4
 
0.1%
251 8
 
0.1%

212
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.2631667
Minimum0
Maximum255
Zeros1090
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:11.491235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142
median145
Q3203
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)161

Descriptive statistics

Standard deviation85.1100887
Coefficient of variation (CV)0.6740690175
Kurtosis-1.375902414
Mean126.2631667
Median Absolute Deviation (MAD)69
Skewness-0.311691153
Sum757579
Variance7243.727198
MonotonicityNot monotonic
2025-03-21T22:39:11.557961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1090
 
18.2%
221 51
 
0.9%
216 50
 
0.8%
219 48
 
0.8%
224 47
 
0.8%
231 46
 
0.8%
203 45
 
0.8%
212 44
 
0.7%
228 44
 
0.7%
198 43
 
0.7%
Other values (246) 4492
74.9%
ValueCountFrequency (%)
0 1090
18.2%
1 39
 
0.7%
2 22
 
0.4%
3 8
 
0.1%
4 15
 
0.2%
ValueCountFrequency (%)
255 37
0.6%
254 2
 
< 0.1%
253 5
 
0.1%
252 4
 
0.1%
251 7
 
0.1%

213
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.3046667
Minimum0
Maximum255
Zeros1071
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:11.621944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q144
median146
Q3202
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)158

Descriptive statistics

Standard deviation84.00410283
Coefficient of variation (CV)0.6650910457
Kurtosis-1.34661605
Mean126.3046667
Median Absolute Deviation (MAD)67
Skewness-0.319200927
Sum757828
Variance7056.689293
MonotonicityNot monotonic
2025-03-21T22:39:11.687261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1071
 
17.8%
223 55
 
0.9%
225 52
 
0.9%
255 51
 
0.9%
214 49
 
0.8%
202 48
 
0.8%
226 47
 
0.8%
205 46
 
0.8%
201 41
 
0.7%
212 40
 
0.7%
Other values (246) 4500
75.0%
ValueCountFrequency (%)
0 1071
17.8%
1 18
 
0.3%
2 18
 
0.3%
3 15
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 51
0.9%
254 9
 
0.1%
253 6
 
0.1%
252 3
 
0.1%
251 6
 
0.1%

214
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.4205
Minimum0
Maximum255
Zeros1149
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:11.752300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135
median141
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation85.84132922
Coefficient of variation (CV)0.6955192145
Kurtosis-1.415915708
Mean123.4205
Median Absolute Deviation (MAD)72
Skewness-0.2416031995
Sum740523
Variance7368.733802
MonotonicityNot monotonic
2025-03-21T22:39:11.820318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1149
 
19.1%
255 68
 
1.1%
222 51
 
0.9%
206 46
 
0.8%
216 45
 
0.8%
201 45
 
0.8%
204 45
 
0.8%
219 44
 
0.7%
190 44
 
0.7%
207 43
 
0.7%
Other values (246) 4420
73.7%
ValueCountFrequency (%)
0 1149
19.1%
1 30
 
0.5%
2 18
 
0.3%
3 16
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 68
1.1%
254 8
 
0.1%
253 5
 
0.1%
252 11
 
0.2%
251 4
 
0.1%

215
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.752
Minimum0
Maximum255
Zeros1422
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:11.887091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median129
Q3199
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation87.99925269
Coefficient of variation (CV)0.7602395871
Kurtosis-1.509228549
Mean115.752
Median Absolute Deviation (MAD)81
Skewness-0.1172915618
Sum694512
Variance7743.868474
MonotonicityNot monotonic
2025-03-21T22:39:11.956169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1422
 
23.7%
255 54
 
0.9%
207 47
 
0.8%
225 43
 
0.7%
221 42
 
0.7%
201 42
 
0.7%
202 41
 
0.7%
227 40
 
0.7%
223 40
 
0.7%
209 39
 
0.7%
Other values (246) 4190
69.8%
ValueCountFrequency (%)
0 1422
23.7%
1 33
 
0.5%
2 32
 
0.5%
3 17
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 54
0.9%
254 9
 
0.1%
253 6
 
0.1%
252 7
 
0.1%
251 11
 
0.2%

216
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.3023333
Minimum0
Maximum255
Zeros1917
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:12.024920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median104
Q3195.25
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)195.25

Descriptive statistics

Standard deviation92.17598022
Coefficient of variation (CV)0.892293303
Kurtosis-1.624861005
Mean103.3023333
Median Absolute Deviation (MAD)104
Skewness0.1040680435
Sum619814
Variance8496.41133
MonotonicityNot monotonic
2025-03-21T22:39:12.092050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1917
31.9%
1 58
 
1.0%
2 46
 
0.8%
255 46
 
0.8%
217 42
 
0.7%
216 41
 
0.7%
215 39
 
0.7%
225 38
 
0.6%
211 38
 
0.6%
228 37
 
0.6%
Other values (246) 3698
61.6%
ValueCountFrequency (%)
0 1917
31.9%
1 58
 
1.0%
2 46
 
0.8%
3 22
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
255 46
0.8%
254 8
 
0.1%
253 4
 
0.1%
252 6
 
0.1%
251 6
 
0.1%

217
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.77316667
Minimum0
Maximum255
Zeros2318
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:12.155564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median76
Q3190
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation93.22904763
Coefficient of variation (CV)0.9941974975
Kurtosis-1.594046669
Mean93.77316667
Median Absolute Deviation (MAD)76
Skewness0.2786420195
Sum562639
Variance8691.655323
MonotonicityNot monotonic
2025-03-21T22:39:12.223178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2318
38.6%
1 50
 
0.8%
255 47
 
0.8%
217 39
 
0.7%
213 38
 
0.6%
233 37
 
0.6%
226 37
 
0.6%
214 37
 
0.6%
186 34
 
0.6%
211 34
 
0.6%
Other values (246) 3329
55.5%
ValueCountFrequency (%)
0 2318
38.6%
1 50
 
0.8%
2 32
 
0.5%
3 28
 
0.5%
4 23
 
0.4%
ValueCountFrequency (%)
255 47
0.8%
254 9
 
0.1%
253 7
 
0.1%
252 4
 
0.1%
251 1
 
< 0.1%

218
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.90333333
Minimum0
Maximum255
Zeros2696
Zeros (%)44.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:12.290368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21.5
Q3171
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)171

Descriptive statistics

Standard deviation90.87744003
Coefficient of variation (CV)1.151756665
Kurtosis-1.31223714
Mean78.90333333
Median Absolute Deviation (MAD)21.5
Skewness0.5866031745
Sum473420
Variance8258.709107
MonotonicityNot monotonic
2025-03-21T22:39:12.359413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2696
44.9%
1 61
 
1.0%
255 45
 
0.8%
2 45
 
0.8%
210 34
 
0.6%
206 33
 
0.5%
218 30
 
0.5%
215 28
 
0.5%
200 28
 
0.5%
3 28
 
0.5%
Other values (246) 2972
49.5%
ValueCountFrequency (%)
0 2696
44.9%
1 61
 
1.0%
2 45
 
0.8%
3 28
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 45
0.8%
254 11
 
0.2%
253 5
 
0.1%
252 4
 
0.1%
251 10
 
0.2%

219
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.22716667
Minimum0
Maximum255
Zeros3335
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:12.425750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3121
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)121

Descriptive statistics

Standard deviation83.30485087
Coefficient of variation (CV)1.430687008
Kurtosis-0.504507216
Mean58.22716667
Median Absolute Deviation (MAD)0
Skewness1.053954863
Sum349363
Variance6939.698178
MonotonicityNot monotonic
2025-03-21T22:39:12.495304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3335
55.6%
1 67
 
1.1%
2 41
 
0.7%
229 24
 
0.4%
4 23
 
0.4%
205 22
 
0.4%
220 21
 
0.4%
208 21
 
0.4%
223 20
 
0.3%
219 20
 
0.3%
Other values (246) 2406
40.1%
ValueCountFrequency (%)
0 3335
55.6%
1 67
 
1.1%
2 41
 
0.7%
3 18
 
0.3%
4 23
 
0.4%
ValueCountFrequency (%)
255 19
0.3%
254 5
 
0.1%
253 2
 
< 0.1%
252 3
 
0.1%
251 5
 
0.1%

220
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.17216667
Minimum0
Maximum255
Zeros4161
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:12.561059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q326
95-th percentile215
Maximum255
Range255
Interquartile range (IQR)26

Descriptive statistics

Standard deviation72.97265031
Coefficient of variation (CV)1.911671689
Kurtosis1.351511058
Mean38.17216667
Median Absolute Deviation (MAD)0
Skewness1.704503629
Sum229033
Variance5325.007693
MonotonicityNot monotonic
2025-03-21T22:39:12.774892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4161
69.3%
1 67
 
1.1%
2 57
 
0.9%
3 30
 
0.5%
4 27
 
0.4%
255 22
 
0.4%
211 16
 
0.3%
197 14
 
0.2%
6 14
 
0.2%
179 14
 
0.2%
Other values (246) 1578
 
26.3%
ValueCountFrequency (%)
0 4161
69.3%
1 67
 
1.1%
2 57
 
0.9%
3 30
 
0.5%
4 27
 
0.4%
ValueCountFrequency (%)
255 22
0.4%
254 6
 
0.1%
253 4
 
0.1%
252 3
 
0.1%
251 2
 
< 0.1%

221
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.17233333
Minimum0
Maximum255
Zeros4678
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:12.837226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile198
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.75380181
Coefficient of variation (CV)2.397715214
Kurtosis3.868621825
Mean26.17233333
Median Absolute Deviation (MAD)0
Skewness2.305753198
Sum157034
Variance3938.039641
MonotonicityNot monotonic
2025-03-21T22:39:12.905206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4678
78.0%
1 70
 
1.2%
2 52
 
0.9%
3 27
 
0.4%
4 26
 
0.4%
255 22
 
0.4%
5 15
 
0.2%
187 13
 
0.2%
185 11
 
0.2%
188 11
 
0.2%
Other values (244) 1075
 
17.9%
ValueCountFrequency (%)
0 4678
78.0%
1 70
 
1.2%
2 52
 
0.9%
3 27
 
0.4%
4 26
 
0.4%
ValueCountFrequency (%)
255 22
0.4%
254 1
 
< 0.1%
253 3
 
0.1%
252 1
 
< 0.1%
251 4
 
0.1%

222
Real number (ℝ)

Zeros 

Distinct232
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.18416667
Minimum0
Maximum255
Zeros5106
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:12.970814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile131
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.23709683
Coefficient of variation (CV)3.355319904
Kurtosis12.4741511
Mean13.18416667
Median Absolute Deviation (MAD)0
Skewness3.632452296
Sum79105
Variance1956.920736
MonotonicityNot monotonic
2025-03-21T22:39:13.038023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5106
85.1%
1 79
 
1.3%
2 66
 
1.1%
3 37
 
0.6%
5 18
 
0.3%
4 18
 
0.3%
6 12
 
0.2%
8 12
 
0.2%
7 8
 
0.1%
46 7
 
0.1%
Other values (222) 637
 
10.6%
ValueCountFrequency (%)
0 5106
85.1%
1 79
 
1.3%
2 66
 
1.1%
3 37
 
0.6%
4 18
 
0.3%
ValueCountFrequency (%)
255 5
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%

223
Real number (ℝ)

Zeros 

Distinct128
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.907333333
Minimum0
Maximum239
Zeros5612
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:13.105808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum239
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.52911743
Coefficient of variation (CV)6.029276805
Kurtosis61.93358585
Mean2.907333333
Median Absolute Deviation (MAD)0
Skewness7.469828806
Sum17444
Variance307.2699579
MonotonicityNot monotonic
2025-03-21T22:39:13.175561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5612
93.5%
1 76
 
1.3%
2 43
 
0.7%
3 16
 
0.3%
4 10
 
0.2%
6 7
 
0.1%
82 5
 
0.1%
14 5
 
0.1%
74 5
 
0.1%
9 4
 
0.1%
Other values (118) 217
 
3.6%
ValueCountFrequency (%)
0 5612
93.5%
1 76
 
1.3%
2 43
 
0.7%
3 16
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
239 1
< 0.1%
228 1
< 0.1%
205 1
< 0.1%
201 2
< 0.1%
192 1
< 0.1%

224
Real number (ℝ)

Zeros 

Distinct67
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9671666667
Minimum0
Maximum236
Zeros5851
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:13.241902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum236
Range236
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.66180258
Coefficient of variation (CV)11.02374901
Kurtosis215.7618686
Mean0.9671666667
Median Absolute Deviation (MAD)0
Skewness13.8866241
Sum5803
Variance113.6740343
MonotonicityNot monotonic
2025-03-21T22:39:13.304887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5851
97.5%
1 31
 
0.5%
2 18
 
0.3%
4 11
 
0.2%
3 9
 
0.1%
5 8
 
0.1%
92 4
 
0.1%
25 2
 
< 0.1%
15 2
 
< 0.1%
6 2
 
< 0.1%
Other values (57) 62
 
1.0%
ValueCountFrequency (%)
0 5851
97.5%
1 31
 
0.5%
2 18
 
0.3%
3 9
 
0.1%
4 11
 
0.2%
ValueCountFrequency (%)
236 1
< 0.1%
218 1
< 0.1%
197 1
< 0.1%
192 1
< 0.1%
181 1
< 0.1%

225
Real number (ℝ)

Zeros 

Distinct123
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3865
Minimum0
Maximum255
Zeros5747
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:13.370732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.51496566
Coefficient of variation (CV)6.943737092
Kurtosis63.52144621
Mean3.3865
Median Absolute Deviation (MAD)0
Skewness7.833801887
Sum20319
Variance552.95361
MonotonicityNot monotonic
2025-03-21T22:39:13.439641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5747
95.8%
1 31
 
0.5%
2 22
 
0.4%
4 14
 
0.2%
3 7
 
0.1%
194 5
 
0.1%
22 4
 
0.1%
7 4
 
0.1%
5 4
 
0.1%
68 3
 
0.1%
Other values (113) 159
 
2.6%
ValueCountFrequency (%)
0 5747
95.8%
1 31
 
0.5%
2 22
 
0.4%
3 7
 
0.1%
4 14
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
253 1
 
< 0.1%
252 3
0.1%
251 1
 
< 0.1%
246 1
 
< 0.1%

226
Real number (ℝ)

Zeros 

Distinct179
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.703166667
Minimum0
Maximum255
Zeros5571
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:13.507977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.58643433
Coefficient of variation (CV)4.861349263
Kurtosis28.53063868
Mean6.703166667
Median Absolute Deviation (MAD)0
Skewness5.333241499
Sum40219
Variance1061.875703
MonotonicityNot monotonic
2025-03-21T22:39:13.574374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5571
92.8%
1 46
 
0.8%
2 22
 
0.4%
3 9
 
0.1%
4 9
 
0.1%
6 6
 
0.1%
36 6
 
0.1%
16 5
 
0.1%
255 5
 
0.1%
181 5
 
0.1%
Other values (169) 316
 
5.3%
ValueCountFrequency (%)
0 5571
92.8%
1 46
 
0.8%
2 22
 
0.4%
3 9
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 5
0.1%
254 1
 
< 0.1%
252 1
 
< 0.1%
250 1
 
< 0.1%
247 1
 
< 0.1%

227
Real number (ℝ)

Zeros 

Distinct237
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.3935
Minimum0
Maximum255
Zeros5178
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:13.641094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile144.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.80031377
Coefficient of variation (CV)3.251489476
Kurtosis11.05860989
Mean14.3935
Median Absolute Deviation (MAD)0
Skewness3.455716447
Sum86361
Variance2190.269369
MonotonicityNot monotonic
2025-03-21T22:39:13.709647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5178
86.3%
1 42
 
0.7%
2 29
 
0.5%
3 23
 
0.4%
4 14
 
0.2%
5 10
 
0.2%
47 10
 
0.2%
6 10
 
0.2%
255 9
 
0.1%
7 8
 
0.1%
Other values (227) 667
 
11.1%
ValueCountFrequency (%)
0 5178
86.3%
1 42
 
0.7%
2 29
 
0.5%
3 23
 
0.4%
4 14
 
0.2%
ValueCountFrequency (%)
255 9
0.1%
254 3
 
0.1%
253 2
 
< 0.1%
251 2
 
< 0.1%
250 2
 
< 0.1%

228
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.2115
Minimum0
Maximum255
Zeros4451
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:13.774647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile204.05
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation67.37023002
Coefficient of variation (CV)2.091496205
Kurtosis2.416082341
Mean32.2115
Median Absolute Deviation (MAD)0
Skewness1.963097659
Sum193269
Variance4538.747892
MonotonicityNot monotonic
2025-03-21T22:39:13.841821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4451
74.2%
1 50
 
0.8%
3 24
 
0.4%
2 23
 
0.4%
5 18
 
0.3%
255 17
 
0.3%
176 13
 
0.2%
6 13
 
0.2%
78 13
 
0.2%
183 12
 
0.2%
Other values (246) 1366
 
22.8%
ValueCountFrequency (%)
0 4451
74.2%
1 50
 
0.8%
2 23
 
0.4%
3 24
 
0.4%
4 12
 
0.2%
ValueCountFrequency (%)
255 17
0.3%
254 2
 
< 0.1%
253 2
 
< 0.1%
252 7
0.1%
251 4
 
0.1%

229
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.50216667
Minimum0
Maximum255
Zeros3625
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:13.907164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3114
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation83.01255433
Coefficient of variation (CV)1.49566331
Kurtosis-0.3899082411
Mean55.50216667
Median Absolute Deviation (MAD)0
Skewness1.113438066
Sum333013
Variance6891.084176
MonotonicityNot monotonic
2025-03-21T22:39:13.977717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3625
60.4%
1 50
 
0.8%
255 26
 
0.4%
211 24
 
0.4%
215 23
 
0.4%
2 22
 
0.4%
223 21
 
0.4%
198 20
 
0.3%
235 20
 
0.3%
219 19
 
0.3%
Other values (246) 2150
35.8%
ValueCountFrequency (%)
0 3625
60.4%
1 50
 
0.8%
2 22
 
0.4%
3 13
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 26
0.4%
254 5
 
0.1%
253 4
 
0.1%
252 2
 
< 0.1%
251 6
 
0.1%

230
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.87666667
Minimum0
Maximum255
Zeros3222
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:14.044011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3166
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)166

Descriptive statistics

Standard deviation91.12217987
Coefficient of variation (CV)1.267757453
Kurtosis-1.205275049
Mean71.87666667
Median Absolute Deviation (MAD)0
Skewness0.7134301841
Sum431260
Variance8303.251664
MonotonicityNot monotonic
2025-03-21T22:39:14.278443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3222
53.7%
1 34
 
0.6%
216 32
 
0.5%
215 30
 
0.5%
229 28
 
0.5%
214 27
 
0.4%
222 27
 
0.4%
230 26
 
0.4%
210 26
 
0.4%
209 25
 
0.4%
Other values (244) 2523
42.0%
ValueCountFrequency (%)
0 3222
53.7%
1 34
 
0.6%
2 23
 
0.4%
3 14
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 22
0.4%
254 5
 
0.1%
253 9
0.1%
252 5
 
0.1%
250 5
 
0.1%

231
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.45616667
Minimum0
Maximum255
Zeros2902
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:14.346886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3186
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation94.77090094
Coefficient of variation (CV)1.135576971
Kurtosis-1.500308547
Mean83.45616667
Median Absolute Deviation (MAD)4
Skewness0.4802725379
Sum500737
Variance8981.523666
MonotonicityNot monotonic
2025-03-21T22:39:14.415881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2902
48.4%
219 41
 
0.7%
1 41
 
0.7%
222 40
 
0.7%
234 36
 
0.6%
213 36
 
0.6%
227 36
 
0.6%
211 35
 
0.6%
230 33
 
0.5%
2 32
 
0.5%
Other values (245) 2768
46.1%
ValueCountFrequency (%)
0 2902
48.4%
1 41
 
0.7%
2 32
 
0.5%
3 20
 
0.3%
4 9
 
0.1%
ValueCountFrequency (%)
255 29
0.5%
254 4
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 3
 
0.1%

232
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.6965
Minimum0
Maximum255
Zeros2464
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:14.481891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median58
Q3185
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation93.23975366
Coefficient of variation (CV)1.051222468
Kurtosis-1.533004911
Mean88.6965
Median Absolute Deviation (MAD)58
Skewness0.3784797625
Sum532179
Variance8693.651663
MonotonicityNot monotonic
2025-03-21T22:39:14.550693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2464
41.1%
1 120
 
2.0%
255 48
 
0.8%
2 38
 
0.6%
222 38
 
0.6%
221 37
 
0.6%
217 35
 
0.6%
213 33
 
0.5%
3 33
 
0.5%
203 32
 
0.5%
Other values (246) 3122
52.0%
ValueCountFrequency (%)
0 2464
41.1%
1 120
 
2.0%
2 38
 
0.6%
3 33
 
0.5%
4 18
 
0.3%
ValueCountFrequency (%)
255 48
0.8%
254 8
 
0.1%
253 8
 
0.1%
252 8
 
0.1%
251 5
 
0.1%

233
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.92916667
Minimum0
Maximum255
Zeros1850
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:14.618385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q3188
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation90.56175455
Coefficient of variation (CV)0.9154201699
Kurtosis-1.577240157
Mean98.92916667
Median Absolute Deviation (MAD)97
Skewness0.1658003862
Sum593575
Variance8201.431388
MonotonicityNot monotonic
2025-03-21T22:39:14.685620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1850
30.8%
1 187
 
3.1%
2 69
 
1.1%
255 49
 
0.8%
214 44
 
0.7%
217 42
 
0.7%
213 41
 
0.7%
3 35
 
0.6%
190 34
 
0.6%
222 34
 
0.6%
Other values (246) 3615
60.2%
ValueCountFrequency (%)
0 1850
30.8%
1 187
 
3.1%
2 69
 
1.1%
3 35
 
0.6%
4 27
 
0.4%
ValueCountFrequency (%)
255 49
0.8%
254 9
 
0.1%
253 12
 
0.2%
252 5
 
0.1%
251 11
 
0.2%

234
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.1398333
Minimum0
Maximum255
Zeros1677
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:14.750300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3195.25
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)195.25

Descriptive statistics

Standard deviation90.78906169
Coefficient of variation (CV)0.8473884909
Kurtosis-1.585408936
Mean107.1398333
Median Absolute Deviation (MAD)98
Skewness0.03309539856
Sum642839
Variance8242.653722
MonotonicityNot monotonic
2025-03-21T22:39:14.817924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1677
28.0%
1 136
 
2.3%
255 71
 
1.2%
2 47
 
0.8%
225 45
 
0.8%
213 43
 
0.7%
230 42
 
0.7%
217 40
 
0.7%
202 39
 
0.7%
218 38
 
0.6%
Other values (246) 3822
63.7%
ValueCountFrequency (%)
0 1677
28.0%
1 136
 
2.3%
2 47
 
0.8%
3 31
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
255 71
1.2%
254 8
 
0.1%
253 7
 
0.1%
252 11
 
0.2%
251 3
 
0.1%

235
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.8985
Minimum0
Maximum255
Zeros1533
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:14.882940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118.5
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation89.40525943
Coefficient of variation (CV)0.8209962436
Kurtosis-1.579400464
Mean108.8985
Median Absolute Deviation (MAD)91.5
Skewness-0.0169108988
Sum653391
Variance7993.300414
MonotonicityNot monotonic
2025-03-21T22:39:14.953263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1533
 
25.6%
1 137
 
2.3%
2 59
 
1.0%
255 49
 
0.8%
215 46
 
0.8%
3 44
 
0.7%
197 44
 
0.7%
213 41
 
0.7%
225 39
 
0.7%
214 39
 
0.7%
Other values (246) 3969
66.1%
ValueCountFrequency (%)
0 1533
25.6%
1 137
 
2.3%
2 59
 
1.0%
3 44
 
0.7%
4 32
 
0.5%
ValueCountFrequency (%)
255 49
0.8%
254 5
 
0.1%
253 8
 
0.1%
252 2
 
< 0.1%
251 3
 
0.1%

236
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.061
Minimum0
Maximum255
Zeros1466
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:15.020255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median121.5
Q3198
95-th percentile233.05
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation90.07300078
Coefficient of variation (CV)0.8110227783
Kurtosis-1.588460004
Mean111.061
Median Absolute Deviation (MAD)90.5
Skewness-0.04687217847
Sum666366
Variance8113.14547
MonotonicityNot monotonic
2025-03-21T22:39:15.091514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1466
 
24.4%
1 137
 
2.3%
2 73
 
1.2%
3 64
 
1.1%
213 52
 
0.9%
212 50
 
0.8%
220 46
 
0.8%
221 44
 
0.7%
218 41
 
0.7%
211 40
 
0.7%
Other values (246) 3987
66.5%
ValueCountFrequency (%)
0 1466
24.4%
1 137
 
2.3%
2 73
 
1.2%
3 64
 
1.1%
4 20
 
0.3%
ValueCountFrequency (%)
255 39
0.7%
254 8
 
0.1%
253 6
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

237
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.5976667
Minimum0
Maximum255
Zeros1271
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:15.161480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median127
Q3198
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation88.34499383
Coefficient of variation (CV)0.7709144208
Kurtosis-1.529499141
Mean114.5976667
Median Absolute Deviation (MAD)84
Skewness-0.101399035
Sum687586
Variance7804.837934
MonotonicityNot monotonic
2025-03-21T22:39:15.230710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1271
 
21.2%
2 90
 
1.5%
1 84
 
1.4%
3 53
 
0.9%
255 48
 
0.8%
229 44
 
0.7%
4 42
 
0.7%
215 41
 
0.7%
217 41
 
0.7%
228 40
 
0.7%
Other values (246) 4246
70.8%
ValueCountFrequency (%)
0 1271
21.2%
1 84
 
1.4%
2 90
 
1.5%
3 53
 
0.9%
4 42
 
0.7%
ValueCountFrequency (%)
255 48
0.8%
254 9
 
0.1%
253 6
 
0.1%
252 10
 
0.2%
251 4
 
0.1%

238
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.1658333
Minimum0
Maximum255
Zeros1197
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:15.297421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median130
Q3198
95-th percentile232.05
Maximum255
Range255
Interquartile range (IQR)181

Descriptive statistics

Standard deviation86.17515318
Coefficient of variation (CV)0.7354972924
Kurtosis-1.481378832
Mean117.1658333
Median Absolute Deviation (MAD)79
Skewness-0.1472343025
Sum702995
Variance7426.157025
MonotonicityNot monotonic
2025-03-21T22:39:15.368471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1197
 
20.0%
1 50
 
0.8%
2 48
 
0.8%
226 46
 
0.8%
222 42
 
0.7%
215 42
 
0.7%
220 42
 
0.7%
219 41
 
0.7%
210 41
 
0.7%
229 41
 
0.7%
Other values (246) 4410
73.5%
ValueCountFrequency (%)
0 1197
20.0%
1 50
 
0.8%
2 48
 
0.8%
3 32
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 34
0.6%
254 10
 
0.2%
253 3
 
0.1%
252 3
 
0.1%
251 5
 
0.1%

239
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.967
Minimum0
Maximum255
Zeros934
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:15.601115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median151
Q3208
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)158

Descriptive statistics

Standard deviation85.38861817
Coefficient of variation (CV)0.6519857535
Kurtosis-1.326180033
Mean130.967
Median Absolute Deviation (MAD)67
Skewness-0.3344680694
Sum785802
Variance7291.216114
MonotonicityNot monotonic
2025-03-21T22:39:15.668146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 934
 
15.6%
255 103
 
1.7%
218 52
 
0.9%
211 49
 
0.8%
226 48
 
0.8%
202 46
 
0.8%
232 46
 
0.8%
228 46
 
0.8%
216 46
 
0.8%
220 45
 
0.8%
Other values (246) 4585
76.4%
ValueCountFrequency (%)
0 934
15.6%
1 23
 
0.4%
2 27
 
0.4%
3 17
 
0.3%
4 19
 
0.3%
ValueCountFrequency (%)
255 103
1.7%
254 12
 
0.2%
253 13
 
0.2%
252 16
 
0.3%
251 11
 
0.2%

240
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.9765
Minimum0
Maximum255
Zeros752
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:15.735744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q167
median155
Q3205
95-th percentile235.05
Maximum255
Range255
Interquartile range (IQR)138

Descriptive statistics

Standard deviation80.77008676
Coefficient of variation (CV)0.5984011051
Kurtosis-1.160554593
Mean134.9765
Median Absolute Deviation (MAD)60
Skewness-0.4342368032
Sum809859
Variance6523.806916
MonotonicityNot monotonic
2025-03-21T22:39:15.803982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 752
 
12.5%
255 70
 
1.2%
221 55
 
0.9%
201 52
 
0.9%
213 49
 
0.8%
215 49
 
0.8%
212 48
 
0.8%
225 46
 
0.8%
209 46
 
0.8%
224 45
 
0.8%
Other values (246) 4788
79.8%
ValueCountFrequency (%)
0 752
12.5%
1 29
 
0.5%
2 18
 
0.3%
3 14
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 70
1.2%
254 6
 
0.1%
253 8
 
0.1%
252 7
 
0.1%
251 3
 
0.1%

241
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.0888333
Minimum0
Maximum255
Zeros750
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:15.870645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q168
median155
Q3205
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation80.62978442
Coefficient of variation (CV)0.5968649105
Kurtosis-1.155095648
Mean135.0888333
Median Absolute Deviation (MAD)60
Skewness-0.4395332627
Sum810533
Variance6501.162136
MonotonicityNot monotonic
2025-03-21T22:39:15.935966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 750
 
12.5%
255 72
 
1.2%
218 52
 
0.9%
226 52
 
0.9%
204 49
 
0.8%
211 49
 
0.8%
224 48
 
0.8%
234 48
 
0.8%
227 47
 
0.8%
202 45
 
0.8%
Other values (246) 4788
79.8%
ValueCountFrequency (%)
0 750
12.5%
1 27
 
0.4%
2 27
 
0.4%
3 9
 
0.1%
4 13
 
0.2%
ValueCountFrequency (%)
255 72
1.2%
254 7
 
0.1%
253 6
 
0.1%
252 12
 
0.2%
251 5
 
0.1%

242
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.1971667
Minimum0
Maximum255
Zeros920
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:16.002273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q152
median147.5
Q3204
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)152

Descriptive statistics

Standard deviation83.65633482
Coefficient of variation (CV)0.6475090513
Kurtosis-1.299609222
Mean129.1971667
Median Absolute Deviation (MAD)66.5
Skewness-0.3293945823
Sum775183
Variance6998.382356
MonotonicityNot monotonic
2025-03-21T22:39:16.070154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 920
 
15.3%
255 71
 
1.2%
208 49
 
0.8%
214 47
 
0.8%
203 46
 
0.8%
225 45
 
0.8%
200 45
 
0.8%
217 44
 
0.7%
197 44
 
0.7%
226 44
 
0.7%
Other values (246) 4645
77.4%
ValueCountFrequency (%)
0 920
15.3%
1 36
 
0.6%
2 23
 
0.4%
3 22
 
0.4%
4 12
 
0.2%
ValueCountFrequency (%)
255 71
1.2%
254 17
 
0.3%
253 9
 
0.1%
252 11
 
0.2%
251 7
 
0.1%

243
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.2113333
Minimum0
Maximum255
Zeros1226
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:16.137715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median135
Q3203
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation86.97212023
Coefficient of variation (CV)0.7175246558
Kurtosis-1.450128457
Mean121.2113333
Median Absolute Deviation (MAD)76
Skewness-0.1957558329
Sum727268
Variance7564.149697
MonotonicityNot monotonic
2025-03-21T22:39:16.206152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1226
 
20.4%
255 62
 
1.0%
221 52
 
0.9%
1 51
 
0.9%
225 46
 
0.8%
205 45
 
0.8%
217 44
 
0.7%
213 42
 
0.7%
222 42
 
0.7%
211 40
 
0.7%
Other values (246) 4350
72.5%
ValueCountFrequency (%)
0 1226
20.4%
1 51
 
0.9%
2 36
 
0.6%
3 13
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 62
1.0%
254 5
 
0.1%
253 7
 
0.1%
252 7
 
0.1%
251 9
 
0.1%

244
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.0675
Minimum0
Maximum255
Zeros1676
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:16.276601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3203
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation93.13111641
Coefficient of variation (CV)0.831026983
Kurtosis-1.631562898
Mean112.0675
Median Absolute Deviation (MAD)95
Skewness-0.04347755506
Sum672405
Variance8673.404845
MonotonicityNot monotonic
2025-03-21T22:39:16.346480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1676
27.9%
1 89
 
1.5%
255 61
 
1.0%
2 57
 
0.9%
226 52
 
0.9%
223 42
 
0.7%
221 42
 
0.7%
213 41
 
0.7%
229 40
 
0.7%
219 40
 
0.7%
Other values (246) 3860
64.3%
ValueCountFrequency (%)
0 1676
27.9%
1 89
 
1.5%
2 57
 
0.9%
3 40
 
0.7%
4 28
 
0.5%
ValueCountFrequency (%)
255 61
1.0%
254 12
 
0.2%
253 8
 
0.1%
252 6
 
0.1%
251 9
 
0.1%

245
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.71
Minimum0
Maximum255
Zeros2042
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:16.414317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median103
Q3199
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation94.22927231
Coefficient of variation (CV)0.9174303603
Kurtosis-1.649585168
Mean102.71
Median Absolute Deviation (MAD)103
Skewness0.1238268175
Sum616260
Variance8879.155759
MonotonicityNot monotonic
2025-03-21T22:39:16.479778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2042
34.0%
1 90
 
1.5%
255 49
 
0.8%
218 45
 
0.8%
2 45
 
0.8%
221 43
 
0.7%
215 40
 
0.7%
235 40
 
0.7%
224 38
 
0.6%
217 38
 
0.6%
Other values (246) 3530
58.8%
ValueCountFrequency (%)
0 2042
34.0%
1 90
 
1.5%
2 45
 
0.8%
3 23
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 49
0.8%
254 9
 
0.1%
253 12
 
0.2%
252 9
 
0.1%
251 7
 
0.1%

246
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.54116667
Minimum0
Maximum255
Zeros2386
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:16.545009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median57
Q3183
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation92.14006152
Coefficient of variation (CV)1.052534082
Kurtosis-1.481307308
Mean87.54116667
Median Absolute Deviation (MAD)57
Skewness0.4145669634
Sum525247
Variance8489.790937
MonotonicityNot monotonic
2025-03-21T22:39:16.612099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2386
39.8%
1 90
 
1.5%
255 50
 
0.8%
2 39
 
0.7%
216 35
 
0.6%
221 33
 
0.5%
207 33
 
0.5%
215 32
 
0.5%
208 31
 
0.5%
217 31
 
0.5%
Other values (246) 3240
54.0%
ValueCountFrequency (%)
0 2386
39.8%
1 90
 
1.5%
2 39
 
0.7%
3 28
 
0.5%
4 24
 
0.4%
ValueCountFrequency (%)
255 50
0.8%
254 12
 
0.2%
253 4
 
0.1%
252 5
 
0.1%
251 9
 
0.1%

247
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.39783333
Minimum0
Maximum255
Zeros3033
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:16.676829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3148
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)148

Descriptive statistics

Standard deviation87.24724967
Coefficient of variation (CV)1.294511194
Kurtosis-0.9620867663
Mean67.39783333
Median Absolute Deviation (MAD)0
Skewness0.825201797
Sum404387
Variance7612.082576
MonotonicityNot monotonic
2025-03-21T22:39:16.745338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3033
50.5%
1 77
 
1.3%
2 49
 
0.8%
255 35
 
0.6%
3 33
 
0.5%
225 29
 
0.5%
205 27
 
0.4%
4 27
 
0.4%
210 26
 
0.4%
194 25
 
0.4%
Other values (245) 2639
44.0%
ValueCountFrequency (%)
0 3033
50.5%
1 77
 
1.3%
2 49
 
0.8%
3 33
 
0.5%
4 27
 
0.4%
ValueCountFrequency (%)
255 35
0.6%
254 6
 
0.1%
253 7
 
0.1%
252 6
 
0.1%
251 7
 
0.1%

248
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.03866667
Minimum0
Maximum255
Zeros3839
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:16.811456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q372
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)72

Descriptive statistics

Standard deviation78.41415456
Coefficient of variation (CV)1.703223838
Kurtosis0.3184883724
Mean46.03866667
Median Absolute Deviation (MAD)0
Skewness1.398057618
Sum276232
Variance6148.779635
MonotonicityNot monotonic
2025-03-21T22:39:17.053070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3839
64.0%
1 80
 
1.3%
2 43
 
0.7%
3 40
 
0.7%
5 32
 
0.5%
4 22
 
0.4%
214 22
 
0.4%
255 20
 
0.3%
209 19
 
0.3%
200 19
 
0.3%
Other values (246) 1864
31.1%
ValueCountFrequency (%)
0 3839
64.0%
1 80
 
1.3%
2 43
 
0.7%
3 40
 
0.7%
4 22
 
0.4%
ValueCountFrequency (%)
255 20
0.3%
254 6
 
0.1%
253 3
 
0.1%
252 2
 
< 0.1%
251 6
 
0.1%

249
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.69383333
Minimum0
Maximum255
Zeros4389
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:17.117004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)2

Descriptive statistics

Standard deviation68.9902363
Coefficient of variation (CV)2.110191105
Kurtosis2.18994311
Mean32.69383333
Median Absolute Deviation (MAD)0
Skewness1.93555664
Sum196163
Variance4759.652704
MonotonicityNot monotonic
2025-03-21T22:39:17.182497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4389
73.2%
1 76
 
1.3%
2 46
 
0.8%
3 35
 
0.6%
4 35
 
0.6%
5 22
 
0.4%
201 19
 
0.3%
226 17
 
0.3%
6 17
 
0.3%
255 15
 
0.2%
Other values (246) 1329
 
22.1%
ValueCountFrequency (%)
0 4389
73.2%
1 76
 
1.3%
2 46
 
0.8%
3 35
 
0.6%
4 35
 
0.6%
ValueCountFrequency (%)
255 15
0.2%
254 3
 
0.1%
253 3
 
0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

250
Real number (ℝ)

Zeros 

Distinct242
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.70566667
Minimum0
Maximum255
Zeros4911
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:17.247152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile151
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.94517313
Coefficient of variation (CV)2.929854528
Kurtosis9.026803445
Mean16.70566667
Median Absolute Deviation (MAD)0
Skewness3.140639914
Sum100234
Variance2395.629973
MonotonicityNot monotonic
2025-03-21T22:39:17.313083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4911
81.8%
1 82
 
1.4%
2 50
 
0.8%
3 36
 
0.6%
4 27
 
0.4%
255 18
 
0.3%
5 18
 
0.3%
6 14
 
0.2%
7 13
 
0.2%
9 11
 
0.2%
Other values (232) 820
 
13.7%
ValueCountFrequency (%)
0 4911
81.8%
1 82
 
1.4%
2 50
 
0.8%
3 36
 
0.6%
4 27
 
0.4%
ValueCountFrequency (%)
255 18
0.3%
252 2
 
< 0.1%
250 3
 
0.1%
248 1
 
< 0.1%
245 2
 
< 0.1%

251
Real number (ℝ)

Zeros 

Distinct154
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.642
Minimum0
Maximum241
Zeros5526
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:17.379185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum241
Range241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.04766372
Coefficient of variation (CV)5.504575432
Kurtosis50.04827786
Mean3.642
Median Absolute Deviation (MAD)0
Skewness6.770715782
Sum21852
Variance401.9088208
MonotonicityNot monotonic
2025-03-21T22:39:17.446655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5526
92.1%
1 102
 
1.7%
2 36
 
0.6%
3 27
 
0.4%
4 10
 
0.2%
6 9
 
0.1%
11 6
 
0.1%
48 5
 
0.1%
8 5
 
0.1%
9 5
 
0.1%
Other values (144) 269
 
4.5%
ValueCountFrequency (%)
0 5526
92.1%
1 102
 
1.7%
2 36
 
0.6%
3 27
 
0.4%
4 10
 
0.2%
ValueCountFrequency (%)
241 1
< 0.1%
219 1
< 0.1%
218 1
< 0.1%
213 1
< 0.1%
211 1
< 0.1%

252
Real number (ℝ)

Zeros 

Distinct77
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3205
Minimum0
Maximum227
Zeros5833
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:17.512778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.59642375
Coefficient of variation (CV)9.539131961
Kurtosis161.8179932
Mean1.3205
Median Absolute Deviation (MAD)0
Skewness12.02123287
Sum7923
Variance158.6698914
MonotonicityNot monotonic
2025-03-21T22:39:17.577250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5833
97.2%
1 28
 
0.5%
2 13
 
0.2%
3 12
 
0.2%
4 12
 
0.2%
5 5
 
0.1%
36 3
 
0.1%
91 3
 
0.1%
41 3
 
0.1%
39 3
 
0.1%
Other values (67) 85
 
1.4%
ValueCountFrequency (%)
0 5833
97.2%
1 28
 
0.5%
2 13
 
0.2%
3 12
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
227 1
< 0.1%
225 1
< 0.1%
220 1
< 0.1%
217 1
< 0.1%
207 1
< 0.1%

253
Real number (ℝ)

Zeros 

Distinct142
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4665
Minimum0
Maximum255
Zeros5728
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:17.643779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.51386402
Coefficient of variation (CV)6.160050155
Kurtosis47.92971655
Mean4.4665
Median Absolute Deviation (MAD)0
Skewness6.831006432
Sum26799
Variance757.0127132
MonotonicityNot monotonic
2025-03-21T22:39:17.711291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5728
95.5%
1 23
 
0.4%
2 21
 
0.4%
3 7
 
0.1%
4 7
 
0.1%
255 7
 
0.1%
6 4
 
0.1%
10 4
 
0.1%
228 4
 
0.1%
74 3
 
0.1%
Other values (132) 192
 
3.2%
ValueCountFrequency (%)
0 5728
95.5%
1 23
 
0.4%
2 21
 
0.4%
3 7
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 7
0.1%
253 2
 
< 0.1%
251 1
 
< 0.1%
248 1
 
< 0.1%
245 2
 
< 0.1%

254
Real number (ℝ)

Zeros 

Distinct195
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.567333333
Minimum0
Maximum255
Zeros5518
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:17.778497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile44
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.3604119
Coefficient of variation (CV)4.540623544
Kurtosis25.45581889
Mean7.567333333
Median Absolute Deviation (MAD)0
Skewness5.034534702
Sum45404
Variance1180.637906
MonotonicityNot monotonic
2025-03-21T22:39:17.844951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5518
92.0%
1 35
 
0.6%
2 30
 
0.5%
3 16
 
0.3%
4 13
 
0.2%
5 10
 
0.2%
7 6
 
0.1%
255 5
 
0.1%
192 5
 
0.1%
9 5
 
0.1%
Other values (185) 357
 
5.9%
ValueCountFrequency (%)
0 5518
92.0%
1 35
 
0.6%
2 30
 
0.5%
3 16
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 5
0.1%
252 1
 
< 0.1%
245 1
 
< 0.1%
244 1
 
< 0.1%
242 3
0.1%

255
Real number (ℝ)

Zeros 

Distinct244
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.41983333
Minimum0
Maximum255
Zeros5106
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:17.911125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile157
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.38314513
Coefficient of variation (CV)3.00753023
Kurtosis9.078282425
Mean16.41983333
Median Absolute Deviation (MAD)0
Skewness3.172510568
Sum98519
Variance2438.695022
MonotonicityNot monotonic
2025-03-21T22:39:17.978161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5106
85.1%
1 32
 
0.5%
2 17
 
0.3%
3 14
 
0.2%
5 12
 
0.2%
4 12
 
0.2%
69 9
 
0.1%
53 9
 
0.1%
64 7
 
0.1%
85 7
 
0.1%
Other values (234) 775
 
12.9%
ValueCountFrequency (%)
0 5106
85.1%
1 32
 
0.5%
2 17
 
0.3%
3 14
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 6
0.1%
254 2
 
< 0.1%
253 1
 
< 0.1%
250 1
 
< 0.1%
248 2
 
< 0.1%

256
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.01766667
Minimum0
Maximum255
Zeros4355
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:18.043002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile211
Maximum255
Range255
Interquartile range (IQR)8

Descriptive statistics

Standard deviation70.4017383
Coefficient of variation (CV)2.010463432
Kurtosis1.917835315
Mean35.01766667
Median Absolute Deviation (MAD)0
Skewness1.847134793
Sum210106
Variance4956.404755
MonotonicityNot monotonic
2025-03-21T22:39:18.114946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4355
72.6%
1 50
 
0.8%
2 26
 
0.4%
3 20
 
0.3%
255 18
 
0.3%
195 15
 
0.2%
178 15
 
0.2%
190 14
 
0.2%
4 14
 
0.2%
199 14
 
0.2%
Other values (245) 1459
 
24.3%
ValueCountFrequency (%)
0 4355
72.6%
1 50
 
0.8%
2 26
 
0.4%
3 20
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 18
0.3%
254 6
 
0.1%
253 5
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

257
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.93933333
Minimum0
Maximum255
Zeros3559
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:18.182464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3128
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)128

Descriptive statistics

Standard deviation85.11325414
Coefficient of variation (CV)1.444082404
Kurtosis-0.5905295195
Mean58.93933333
Median Absolute Deviation (MAD)0
Skewness1.027626135
Sum353636
Variance7244.266031
MonotonicityNot monotonic
2025-03-21T22:39:18.253090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3559
59.3%
255 37
 
0.6%
1 35
 
0.6%
219 25
 
0.4%
204 25
 
0.4%
221 23
 
0.4%
2 21
 
0.4%
214 21
 
0.4%
195 20
 
0.3%
218 20
 
0.3%
Other values (245) 2214
36.9%
ValueCountFrequency (%)
0 3559
59.3%
1 35
 
0.6%
2 21
 
0.4%
3 14
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 37
0.6%
254 7
 
0.1%
253 6
 
0.1%
252 3
 
0.1%
251 5
 
0.1%

258
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.09866667
Minimum0
Maximum255
Zeros3171
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:18.323100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3173
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)173

Descriptive statistics

Standard deviation92.63367331
Coefficient of variation (CV)1.250139543
Kurtosis-1.267075434
Mean74.09866667
Median Absolute Deviation (MAD)0
Skewness0.6769679723
Sum444592
Variance8580.997431
MonotonicityNot monotonic
2025-03-21T22:39:18.392676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3171
52.8%
1 33
 
0.5%
255 31
 
0.5%
217 29
 
0.5%
2 28
 
0.5%
194 28
 
0.5%
219 28
 
0.5%
222 27
 
0.4%
220 27
 
0.4%
213 26
 
0.4%
Other values (246) 2572
42.9%
ValueCountFrequency (%)
0 3171
52.8%
1 33
 
0.5%
2 28
 
0.5%
3 18
 
0.3%
4 8
 
0.1%
ValueCountFrequency (%)
255 31
0.5%
254 9
 
0.1%
253 13
0.2%
252 3
 
0.1%
251 8
 
0.1%

259
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.21066667
Minimum0
Maximum255
Zeros2844
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:18.645058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q3191
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation96.62336483
Coefficient of variation (CV)1.120782017
Kurtosis-1.54134514
Mean86.21066667
Median Absolute Deviation (MAD)12.5
Skewness0.4475731731
Sum517264
Variance9336.074632
MonotonicityNot monotonic
2025-03-21T22:39:18.714901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2844
47.4%
1 49
 
0.8%
255 49
 
0.8%
2 42
 
0.7%
230 39
 
0.7%
220 38
 
0.6%
222 36
 
0.6%
214 35
 
0.6%
243 33
 
0.5%
221 33
 
0.5%
Other values (246) 2802
46.7%
ValueCountFrequency (%)
0 2844
47.4%
1 49
 
0.8%
2 42
 
0.7%
3 22
 
0.4%
4 7
 
0.1%
ValueCountFrequency (%)
255 49
0.8%
254 13
 
0.2%
253 2
 
< 0.1%
252 8
 
0.1%
251 9
 
0.1%

260
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5065
Minimum0
Maximum255
Zeros2415
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:18.781799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median65
Q3190
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation94.68006483
Coefficient of variation (CV)1.034681305
Kurtosis-1.57184379
Mean91.5065
Median Absolute Deviation (MAD)65
Skewness0.3380733259
Sum549039
Variance8964.314677
MonotonicityNot monotonic
2025-03-21T22:39:18.852019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2415
40.2%
1 110
 
1.8%
255 67
 
1.1%
2 52
 
0.9%
219 39
 
0.7%
209 38
 
0.6%
222 36
 
0.6%
230 34
 
0.6%
225 34
 
0.6%
221 33
 
0.5%
Other values (246) 3142
52.4%
ValueCountFrequency (%)
0 2415
40.2%
1 110
 
1.8%
2 52
 
0.9%
3 32
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 67
1.1%
254 15
 
0.2%
253 10
 
0.2%
252 4
 
0.1%
251 3
 
0.1%

261
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.379
Minimum0
Maximum255
Zeros1801
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:18.919919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median95
Q3190
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation91.16994581
Coefficient of variation (CV)0.9173964903
Kurtosis-1.576051147
Mean99.379
Median Absolute Deviation (MAD)95
Skewness0.173992538
Sum596274
Variance8311.959019
MonotonicityNot monotonic
2025-03-21T22:39:18.988523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1801
30.0%
1 193
 
3.2%
2 78
 
1.3%
255 76
 
1.3%
3 49
 
0.8%
215 42
 
0.7%
213 40
 
0.7%
223 37
 
0.6%
211 36
 
0.6%
218 36
 
0.6%
Other values (246) 3612
60.2%
ValueCountFrequency (%)
0 1801
30.0%
1 193
 
3.2%
2 78
 
1.3%
3 49
 
0.8%
4 31
 
0.5%
ValueCountFrequency (%)
255 76
1.3%
254 16
 
0.3%
253 6
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

262
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.5705
Minimum0
Maximum255
Zeros1527
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:19.054722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3196
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation90.75838737
Coefficient of variation (CV)0.8359396647
Kurtosis-1.582502792
Mean108.5705
Median Absolute Deviation (MAD)95.5
Skewness0.01236117012
Sum651423
Variance8237.084877
MonotonicityNot monotonic
2025-03-21T22:39:19.126378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1527
 
25.4%
1 150
 
2.5%
255 89
 
1.5%
2 72
 
1.2%
3 66
 
1.1%
218 41
 
0.7%
214 41
 
0.7%
222 40
 
0.7%
205 39
 
0.7%
228 38
 
0.6%
Other values (246) 3897
65.0%
ValueCountFrequency (%)
0 1527
25.4%
1 150
 
2.5%
2 72
 
1.2%
3 66
 
1.1%
4 32
 
0.5%
ValueCountFrequency (%)
255 89
1.5%
254 10
 
0.2%
253 7
 
0.1%
252 6
 
0.1%
251 3
 
0.1%

263
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.1968333
Minimum0
Maximum255
Zeros1412
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:19.192766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median122
Q3198
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation89.01599143
Coefficient of variation (CV)0.8005263169
Kurtosis-1.565560934
Mean111.1968333
Median Absolute Deviation (MAD)88
Skewness-0.05937446805
Sum667181
Variance7923.846731
MonotonicityNot monotonic
2025-03-21T22:39:19.261852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1412
 
23.5%
1 133
 
2.2%
2 100
 
1.7%
3 52
 
0.9%
255 51
 
0.9%
220 47
 
0.8%
215 46
 
0.8%
203 43
 
0.7%
209 42
 
0.7%
202 42
 
0.7%
Other values (246) 4032
67.2%
ValueCountFrequency (%)
0 1412
23.5%
1 133
 
2.2%
2 100
 
1.7%
3 52
 
0.9%
4 31
 
0.5%
ValueCountFrequency (%)
255 51
0.9%
254 3
 
0.1%
253 5
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

264
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.6343333
Minimum0
Maximum255
Zeros1377
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:19.330389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median129
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation89.61398551
Coefficient of variation (CV)0.7817377474
Kurtosis-1.556492032
Mean114.6343333
Median Absolute Deviation (MAD)85
Skewness-0.09636966304
Sum687806
Variance8030.666399
MonotonicityNot monotonic
2025-03-21T22:39:19.400492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1377
 
22.9%
1 109
 
1.8%
2 77
 
1.3%
255 70
 
1.2%
221 43
 
0.7%
213 42
 
0.7%
223 42
 
0.7%
224 42
 
0.7%
203 42
 
0.7%
218 41
 
0.7%
Other values (246) 4115
68.6%
ValueCountFrequency (%)
0 1377
22.9%
1 109
 
1.8%
2 77
 
1.3%
3 33
 
0.5%
4 25
 
0.4%
ValueCountFrequency (%)
255 70
1.2%
254 14
 
0.2%
253 9
 
0.1%
252 2
 
< 0.1%
251 10
 
0.2%

265
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.609
Minimum0
Maximum255
Zeros1108
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:19.470073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median134
Q3199.25
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)176.25

Descriptive statistics

Standard deviation86.43481136
Coefficient of variation (CV)0.722644712
Kurtosis-1.450586542
Mean119.609
Median Absolute Deviation (MAD)77
Skewness-0.1748120117
Sum717654
Variance7470.976615
MonotonicityNot monotonic
2025-03-21T22:39:19.539466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1108
 
18.5%
1 75
 
1.2%
255 64
 
1.1%
2 58
 
1.0%
225 51
 
0.9%
219 48
 
0.8%
207 44
 
0.7%
214 42
 
0.7%
195 40
 
0.7%
203 40
 
0.7%
Other values (246) 4430
73.8%
ValueCountFrequency (%)
0 1108
18.5%
1 75
 
1.2%
2 58
 
1.0%
3 39
 
0.7%
4 30
 
0.5%
ValueCountFrequency (%)
255 64
1.1%
254 10
 
0.2%
253 11
 
0.2%
252 7
 
0.1%
251 12
 
0.2%

266
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.7786667
Minimum0
Maximum255
Zeros945
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:19.604290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143
median134
Q3198
95-th percentile232.05
Maximum255
Range255
Interquartile range (IQR)155

Descriptive statistics

Standard deviation82.82143388
Coefficient of variation (CV)0.6800980512
Kurtosis-1.374015195
Mean121.7786667
Median Absolute Deviation (MAD)72
Skewness-0.2129638494
Sum730672
Variance6859.38991
MonotonicityNot monotonic
2025-03-21T22:39:19.672798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 945
 
15.8%
1 50
 
0.8%
208 46
 
0.8%
225 41
 
0.7%
212 41
 
0.7%
210 40
 
0.7%
220 40
 
0.7%
221 39
 
0.7%
206 38
 
0.6%
232 38
 
0.6%
Other values (246) 4682
78.0%
ValueCountFrequency (%)
0 945
15.8%
1 50
 
0.8%
2 28
 
0.5%
3 33
 
0.5%
4 16
 
0.3%
ValueCountFrequency (%)
255 32
0.5%
254 5
 
0.1%
253 2
 
< 0.1%
252 5
 
0.1%
251 4
 
0.1%

267
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.3455
Minimum0
Maximum255
Zeros582
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:19.737291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178
median161
Q3210
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation79.99733991
Coefficient of variation (CV)0.5659701929
Kurtosis-1.05764251
Mean141.3455
Median Absolute Deviation (MAD)58
Skewness-0.480384056
Sum848073
Variance6399.574392
MonotonicityNot monotonic
2025-03-21T22:39:19.803911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 582
 
9.7%
255 154
 
2.6%
210 62
 
1.0%
205 56
 
0.9%
223 52
 
0.9%
215 52
 
0.9%
216 51
 
0.9%
228 49
 
0.8%
206 46
 
0.8%
225 46
 
0.8%
Other values (246) 4850
80.8%
ValueCountFrequency (%)
0 582
9.7%
1 34
 
0.6%
2 24
 
0.4%
3 20
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 154
2.6%
254 20
 
0.3%
253 13
 
0.2%
252 11
 
0.2%
251 14
 
0.2%

268
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.491
Minimum0
Maximum255
Zeros498
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.019182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189
median165
Q3208
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)119

Descriptive statistics

Standard deviation76.03374979
Coefficient of variation (CV)0.5262178945
Kurtosis-0.87373941
Mean144.491
Median Absolute Deviation (MAD)52
Skewness-0.5851251965
Sum866946
Variance5781.131108
MonotonicityNot monotonic
2025-03-21T22:39:20.090328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 498
 
8.3%
255 73
 
1.2%
205 59
 
1.0%
211 57
 
0.9%
210 53
 
0.9%
203 51
 
0.9%
227 48
 
0.8%
231 48
 
0.8%
224 47
 
0.8%
223 47
 
0.8%
Other values (246) 5019
83.7%
ValueCountFrequency (%)
0 498
8.3%
1 22
 
0.4%
2 15
 
0.2%
3 19
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 73
1.2%
254 13
 
0.2%
253 8
 
0.1%
252 5
 
0.1%
251 8
 
0.1%

269
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.5266667
Minimum0
Maximum255
Zeros501
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.160664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q186
median164
Q3208
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)122

Descriptive statistics

Standard deviation76.01177707
Coefficient of variation (CV)0.5296003791
Kurtosis-0.9001412017
Mean143.5266667
Median Absolute Deviation (MAD)53
Skewness-0.5662587212
Sum861160
Variance5777.790254
MonotonicityNot monotonic
2025-03-21T22:39:20.230617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 501
 
8.3%
255 79
 
1.3%
210 60
 
1.0%
214 56
 
0.9%
208 52
 
0.9%
216 52
 
0.9%
224 51
 
0.9%
215 50
 
0.8%
228 50
 
0.8%
218 48
 
0.8%
Other values (246) 5001
83.4%
ValueCountFrequency (%)
0 501
8.3%
1 18
 
0.3%
2 22
 
0.4%
3 14
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 79
1.3%
254 9
 
0.1%
253 8
 
0.1%
252 1
 
< 0.1%
251 3
 
0.1%

270
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.6645
Minimum0
Maximum255
Zeros738
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.298133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median154
Q3206
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)142

Descriptive statistics

Standard deviation82.13349454
Coefficient of variation (CV)0.6099120001
Kurtosis-1.203438888
Mean134.6645
Median Absolute Deviation (MAD)62
Skewness-0.400739883
Sum807987
Variance6745.910925
MonotonicityNot monotonic
2025-03-21T22:39:20.366356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 738
 
12.3%
255 91
 
1.5%
217 53
 
0.9%
206 52
 
0.9%
201 49
 
0.8%
227 49
 
0.8%
205 46
 
0.8%
228 46
 
0.8%
220 46
 
0.8%
213 46
 
0.8%
Other values (246) 4784
79.7%
ValueCountFrequency (%)
0 738
12.3%
1 38
 
0.6%
2 22
 
0.4%
3 13
 
0.2%
4 16
 
0.3%
ValueCountFrequency (%)
255 91
1.5%
254 13
 
0.2%
253 12
 
0.2%
252 10
 
0.2%
251 6
 
0.1%

271
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.4808333
Minimum0
Maximum255
Zeros1107
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.431439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median141
Q3204
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)171

Descriptive statistics

Standard deviation86.64855237
Coefficient of variation (CV)0.696079469
Kurtosis-1.422646757
Mean124.4808333
Median Absolute Deviation (MAD)73
Skewness-0.243651645
Sum746885
Variance7507.971628
MonotonicityNot monotonic
2025-03-21T22:39:20.497093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1107
 
18.4%
255 68
 
1.1%
1 58
 
1.0%
225 50
 
0.8%
219 47
 
0.8%
221 46
 
0.8%
223 46
 
0.8%
229 45
 
0.8%
213 45
 
0.8%
206 42
 
0.7%
Other values (246) 4446
74.1%
ValueCountFrequency (%)
0 1107
18.4%
1 58
 
1.0%
2 28
 
0.5%
3 21
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 68
1.1%
254 7
 
0.1%
253 12
 
0.2%
252 10
 
0.2%
251 9
 
0.1%

272
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.0551667
Minimum0
Maximum255
Zeros1533
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.562767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median137.5
Q3207
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)207

Descriptive statistics

Standard deviation93.65409034
Coefficient of variation (CV)0.7933078491
Kurtosis-1.61631085
Mean118.0551667
Median Absolute Deviation (MAD)85.5
Skewness-0.1408634249
Sum708331
Variance8771.088638
MonotonicityNot monotonic
2025-03-21T22:39:20.632230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1533
 
25.6%
1 108
 
1.8%
255 71
 
1.2%
2 67
 
1.1%
213 50
 
0.8%
3 47
 
0.8%
214 47
 
0.8%
226 46
 
0.8%
199 46
 
0.8%
211 44
 
0.7%
Other values (246) 3941
65.7%
ValueCountFrequency (%)
0 1533
25.6%
1 108
 
1.8%
2 67
 
1.1%
3 47
 
0.8%
4 28
 
0.5%
ValueCountFrequency (%)
255 71
1.2%
254 16
 
0.3%
253 17
 
0.3%
252 10
 
0.2%
251 6
 
0.1%

273
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.8133333
Minimum0
Maximum255
Zeros1888
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.700869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation95.11661974
Coefficient of variation (CV)0.874126514
Kurtosis-1.665249428
Mean108.8133333
Median Absolute Deviation (MAD)105
Skewness0.02626158032
Sum652880
Variance9047.171351
MonotonicityNot monotonic
2025-03-21T22:39:20.766455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1888
31.5%
1 97
 
1.6%
255 56
 
0.9%
2 51
 
0.9%
221 49
 
0.8%
222 47
 
0.8%
230 44
 
0.7%
226 43
 
0.7%
224 42
 
0.7%
234 42
 
0.7%
Other values (246) 3641
60.7%
ValueCountFrequency (%)
0 1888
31.5%
1 97
 
1.6%
2 51
 
0.9%
3 34
 
0.6%
4 24
 
0.4%
ValueCountFrequency (%)
255 56
0.9%
254 14
 
0.2%
253 9
 
0.1%
252 14
 
0.2%
251 6
 
0.1%

274
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.22133333
Minimum0
Maximum255
Zeros2217
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.830802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median74
Q3191
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation93.56218961
Coefficient of variation (CV)0.9930043049
Kurtosis-1.582119816
Mean94.22133333
Median Absolute Deviation (MAD)74
Skewness0.2897916559
Sum565328
Variance8753.883325
MonotonicityNot monotonic
2025-03-21T22:39:20.897655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2217
37.0%
1 73
 
1.2%
2 59
 
1.0%
255 49
 
0.8%
216 38
 
0.6%
220 37
 
0.6%
207 35
 
0.6%
221 34
 
0.6%
222 34
 
0.6%
211 33
 
0.5%
Other values (246) 3391
56.5%
ValueCountFrequency (%)
0 2217
37.0%
1 73
 
1.2%
2 59
 
1.0%
3 33
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 49
0.8%
254 15
 
0.2%
253 5
 
0.1%
252 8
 
0.1%
251 9
 
0.1%

275
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.602
Minimum0
Maximum255
Zeros2822
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:20.963259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q3163
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation89.2794997
Coefficient of variation (CV)1.196744051
Kurtosis-1.233465562
Mean74.602
Median Absolute Deviation (MAD)6.5
Skewness0.6545065623
Sum447612
Variance7970.829068
MonotonicityNot monotonic
2025-03-21T22:39:21.031547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2822
47.0%
1 52
 
0.9%
2 44
 
0.7%
205 30
 
0.5%
222 28
 
0.5%
218 28
 
0.5%
4 27
 
0.4%
202 27
 
0.4%
200 27
 
0.4%
220 26
 
0.4%
Other values (246) 2889
48.1%
ValueCountFrequency (%)
0 2822
47.0%
1 52
 
0.9%
2 44
 
0.7%
3 25
 
0.4%
4 27
 
0.4%
ValueCountFrequency (%)
255 23
0.4%
254 6
 
0.1%
253 11
0.2%
252 4
 
0.1%
251 5
 
0.1%

276
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.08966667
Minimum0
Maximum255
Zeros3578
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:21.101116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3111
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)111

Descriptive statistics

Standard deviation82.33393249
Coefficient of variation (CV)1.522174892
Kurtosis-0.3543967909
Mean54.08966667
Median Absolute Deviation (MAD)0
Skewness1.142239178
Sum324538
Variance6778.876439
MonotonicityNot monotonic
2025-03-21T22:39:21.335724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3578
59.6%
1 64
 
1.1%
2 41
 
0.7%
3 28
 
0.5%
212 24
 
0.4%
205 24
 
0.4%
207 24
 
0.4%
209 24
 
0.4%
210 21
 
0.4%
211 21
 
0.4%
Other values (245) 2151
35.9%
ValueCountFrequency (%)
0 3578
59.6%
1 64
 
1.1%
2 41
 
0.7%
3 28
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 17
0.3%
254 3
 
0.1%
253 4
 
0.1%
252 5
 
0.1%
250 4
 
0.1%

277
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.55816667
Minimum0
Maximum255
Zeros4076
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:21.404983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile215
Maximum255
Range255
Interquartile range (IQR)40

Descriptive statistics

Standard deviation74.53680683
Coefficient of variation (CV)1.837775545
Kurtosis1.001408014
Mean40.55816667
Median Absolute Deviation (MAD)0
Skewness1.603635278
Sum243349
Variance5555.735573
MonotonicityNot monotonic
2025-03-21T22:39:21.472746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4076
67.9%
1 65
 
1.1%
2 36
 
0.6%
3 33
 
0.5%
255 27
 
0.4%
4 24
 
0.4%
208 17
 
0.3%
193 17
 
0.3%
206 14
 
0.2%
216 14
 
0.2%
Other values (246) 1677
28.0%
ValueCountFrequency (%)
0 4076
67.9%
1 65
 
1.1%
2 36
 
0.6%
3 33
 
0.5%
4 24
 
0.4%
ValueCountFrequency (%)
255 27
0.4%
254 2
 
< 0.1%
253 1
 
< 0.1%
252 4
 
0.1%
251 1
 
< 0.1%

278
Real number (ℝ)

Zeros 

Distinct247
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.2285
Minimum0
Maximum255
Zeros4683
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:21.540345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.00878671
Coefficient of variation (CV)2.591270543
Kurtosis6.669399214
Mean21.2285
Median Absolute Deviation (MAD)0
Skewness2.76525337
Sum127371
Variance3025.966616
MonotonicityNot monotonic
2025-03-21T22:39:21.608179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4683
78.0%
1 77
 
1.3%
2 36
 
0.6%
255 34
 
0.6%
3 30
 
0.5%
4 23
 
0.4%
5 16
 
0.3%
6 15
 
0.2%
8 15
 
0.2%
215 13
 
0.2%
Other values (237) 1058
 
17.6%
ValueCountFrequency (%)
0 4683
78.0%
1 77
 
1.3%
2 36
 
0.6%
3 30
 
0.5%
4 23
 
0.4%
ValueCountFrequency (%)
255 34
0.6%
254 2
 
< 0.1%
253 2
 
< 0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%

279
Real number (ℝ)

Zeros 

Distinct157
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.570666667
Minimum0
Maximum241
Zeros5472
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:21.674480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22
Maximum241
Range241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.0222199
Coefficient of variation (CV)4.81816363
Kurtosis39.28010791
Mean4.570666667
Median Absolute Deviation (MAD)0
Skewness5.957152009
Sum27424
Variance484.9781693
MonotonicityNot monotonic
2025-03-21T22:39:21.742653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5472
91.2%
1 76
 
1.3%
2 40
 
0.7%
3 22
 
0.4%
4 12
 
0.2%
38 8
 
0.1%
9 7
 
0.1%
6 7
 
0.1%
10 7
 
0.1%
7 7
 
0.1%
Other values (147) 342
 
5.7%
ValueCountFrequency (%)
0 5472
91.2%
1 76
 
1.3%
2 40
 
0.7%
3 22
 
0.4%
4 12
 
0.2%
ValueCountFrequency (%)
241 1
< 0.1%
238 1
< 0.1%
224 1
< 0.1%
220 1
< 0.1%
217 1
< 0.1%

280
Real number (ℝ)

Zeros 

Distinct92
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.724166667
Minimum0
Maximum228
Zeros5810
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:21.809018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum228
Range228
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.16393962
Coefficient of variation (CV)8.214948063
Kurtosis105.0248657
Mean1.724166667
Median Absolute Deviation (MAD)0
Skewness9.792395389
Sum10345
Variance200.6171855
MonotonicityNot monotonic
2025-03-21T22:39:21.874867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5810
96.8%
1 29
 
0.5%
2 14
 
0.2%
4 11
 
0.2%
3 8
 
0.1%
5 6
 
0.1%
6 5
 
0.1%
42 5
 
0.1%
7 4
 
0.1%
78 4
 
0.1%
Other values (82) 104
 
1.7%
ValueCountFrequency (%)
0 5810
96.8%
1 29
 
0.5%
2 14
 
0.2%
3 8
 
0.1%
4 11
 
0.2%
ValueCountFrequency (%)
228 1
< 0.1%
217 1
< 0.1%
197 1
< 0.1%
191 1
< 0.1%
186 1
< 0.1%

281
Real number (ℝ)

Zeros 

Distinct153
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.010833333
Minimum0
Maximum255
Zeros5703
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:21.940934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.1087891
Coefficient of variation (CV)5.809171282
Kurtosis42.11227144
Mean5.010833333
Median Absolute Deviation (MAD)0
Skewness6.421114922
Sum30065
Variance847.3216029
MonotonicityNot monotonic
2025-03-21T22:39:22.011163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5703
95.0%
1 29
 
0.5%
2 19
 
0.3%
255 9
 
0.1%
3 8
 
0.1%
5 6
 
0.1%
65 5
 
0.1%
187 4
 
0.1%
15 4
 
0.1%
6 4
 
0.1%
Other values (143) 209
 
3.5%
ValueCountFrequency (%)
0 5703
95.0%
1 29
 
0.5%
2 19
 
0.3%
3 8
 
0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
255 9
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
249 1
 
< 0.1%

282
Real number (ℝ)

Zeros 

Distinct195
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.301166667
Minimum0
Maximum255
Zeros5531
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:22.079845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile60
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.1321471
Coefficient of variation (CV)4.352658915
Kurtosis22.33915399
Mean8.301166667
Median Absolute Deviation (MAD)0
Skewness4.739986265
Sum49807
Variance1305.532054
MonotonicityNot monotonic
2025-03-21T22:39:22.147680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5531
92.2%
1 32
 
0.5%
2 19
 
0.3%
3 10
 
0.2%
51 7
 
0.1%
255 7
 
0.1%
4 7
 
0.1%
5 6
 
0.1%
184 6
 
0.1%
70 6
 
0.1%
Other values (185) 369
 
6.2%
ValueCountFrequency (%)
0 5531
92.2%
1 32
 
0.5%
2 19
 
0.3%
3 10
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 7
0.1%
254 2
 
< 0.1%
250 1
 
< 0.1%
246 1
 
< 0.1%
245 1
 
< 0.1%

283
Real number (ℝ)

Zeros 

Distinct244
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.30666667
Minimum0
Maximum255
Zeros5062
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:22.212919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile162
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.79967247
Coefficient of variation (CV)2.935266129
Kurtosis8.488955312
Mean17.30666667
Median Absolute Deviation (MAD)0
Skewness3.079699978
Sum103840
Variance2580.606723
MonotonicityNot monotonic
2025-03-21T22:39:22.281255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5062
84.4%
1 41
 
0.7%
2 38
 
0.6%
4 11
 
0.2%
3 11
 
0.2%
255 10
 
0.2%
90 9
 
0.1%
205 9
 
0.1%
194 8
 
0.1%
190 8
 
0.1%
Other values (234) 793
 
13.2%
ValueCountFrequency (%)
0 5062
84.4%
1 41
 
0.7%
2 38
 
0.6%
3 11
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 10
0.2%
254 2
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
250 2
 
< 0.1%

284
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.3415
Minimum0
Maximum255
Zeros4253
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:22.347823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile214
Maximum255
Range255
Interquartile range (IQR)20

Descriptive statistics

Standard deviation71.3124986
Coefficient of variation (CV)1.962288254
Kurtosis1.730256958
Mean36.3415
Median Absolute Deviation (MAD)0
Skewness1.796745002
Sum218049
Variance5085.472456
MonotonicityNot monotonic
2025-03-21T22:39:22.414686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4253
70.9%
2 44
 
0.7%
1 42
 
0.7%
3 24
 
0.4%
255 24
 
0.4%
4 17
 
0.3%
220 15
 
0.2%
209 14
 
0.2%
160 14
 
0.2%
5 13
 
0.2%
Other values (245) 1540
 
25.7%
ValueCountFrequency (%)
0 4253
70.9%
1 42
 
0.7%
2 44
 
0.7%
3 24
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 24
0.4%
254 6
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 5
 
0.1%

285
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.478
Minimum0
Maximum255
Zeros3502
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:22.478127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3133
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)133

Descriptive statistics

Standard deviation86.36398346
Coefficient of variation (CV)1.42802314
Kurtosis-0.6607824115
Mean60.478
Median Absolute Deviation (MAD)0
Skewness0.9956852141
Sum362868
Variance7458.737639
MonotonicityNot monotonic
2025-03-21T22:39:22.548150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3502
58.4%
1 55
 
0.9%
255 50
 
0.8%
2 24
 
0.4%
216 23
 
0.4%
220 23
 
0.4%
200 21
 
0.4%
212 20
 
0.3%
185 20
 
0.3%
203 20
 
0.3%
Other values (246) 2242
37.4%
ValueCountFrequency (%)
0 3502
58.4%
1 55
 
0.9%
2 24
 
0.4%
3 17
 
0.3%
4 19
 
0.3%
ValueCountFrequency (%)
255 50
0.8%
254 15
 
0.2%
253 8
 
0.1%
252 9
 
0.1%
251 2
 
< 0.1%

286
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.4015
Minimum0
Maximum255
Zeros3103
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:22.790153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3172
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation92.45797988
Coefficient of variation (CV)1.259619761
Kurtosis-1.236891946
Mean73.4015
Median Absolute Deviation (MAD)0
Skewness0.6981185354
Sum440409
Variance8548.478044
MonotonicityNot monotonic
2025-03-21T22:39:22.856941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3103
51.7%
1 82
 
1.4%
255 50
 
0.8%
2 43
 
0.7%
213 30
 
0.5%
225 29
 
0.5%
211 29
 
0.5%
231 28
 
0.5%
209 28
 
0.5%
218 27
 
0.4%
Other values (246) 2551
42.5%
ValueCountFrequency (%)
0 3103
51.7%
1 82
 
1.4%
2 43
 
0.7%
3 27
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 50
0.8%
254 10
 
0.2%
253 7
 
0.1%
252 4
 
0.1%
251 7
 
0.1%

287
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.15066667
Minimum0
Maximum255
Zeros2763
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:22.924323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q3190
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation96.75294735
Coefficient of variation (CV)1.123066728
Kurtosis-1.528136621
Mean86.15066667
Median Absolute Deviation (MAD)13
Skewness0.4562523339
Sum516904
Variance9361.132822
MonotonicityNot monotonic
2025-03-21T22:39:22.992893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2763
46.1%
1 90
 
1.5%
255 65
 
1.1%
2 46
 
0.8%
206 37
 
0.6%
3 37
 
0.6%
223 37
 
0.6%
226 34
 
0.6%
237 34
 
0.6%
225 33
 
0.5%
Other values (246) 2824
47.1%
ValueCountFrequency (%)
0 2763
46.1%
1 90
 
1.5%
2 46
 
0.8%
3 37
 
0.6%
4 22
 
0.4%
ValueCountFrequency (%)
255 65
1.1%
254 19
 
0.3%
253 12
 
0.2%
252 13
 
0.2%
251 8
 
0.1%

288
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.172
Minimum0
Maximum255
Zeros2350
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.060169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median63
Q3191
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation95.11329125
Coefficient of variation (CV)1.031910898
Kurtosis-1.573341941
Mean92.172
Median Absolute Deviation (MAD)63
Skewness0.3351883724
Sum553032
Variance9046.538172
MonotonicityNot monotonic
2025-03-21T22:39:23.127461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2350
39.2%
1 151
 
2.5%
255 67
 
1.1%
2 56
 
0.9%
3 40
 
0.7%
226 36
 
0.6%
219 36
 
0.6%
218 35
 
0.6%
221 34
 
0.6%
216 33
 
0.5%
Other values (246) 3162
52.7%
ValueCountFrequency (%)
0 2350
39.2%
1 151
 
2.5%
2 56
 
0.9%
3 40
 
0.7%
4 24
 
0.4%
ValueCountFrequency (%)
255 67
1.1%
254 18
 
0.3%
253 6
 
0.1%
252 12
 
0.2%
251 11
 
0.2%

289
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.88233333
Minimum0
Maximum255
Zeros1814
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.195874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q3191
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation91.33154473
Coefficient of variation (CV)0.9143913812
Kurtosis-1.579121541
Mean99.88233333
Median Absolute Deviation (MAD)97
Skewness0.1689499766
Sum599294
Variance8341.451063
MonotonicityNot monotonic
2025-03-21T22:39:23.263714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1814
30.2%
1 166
 
2.8%
2 81
 
1.4%
255 76
 
1.3%
217 42
 
0.7%
3 40
 
0.7%
207 38
 
0.6%
195 36
 
0.6%
201 36
 
0.6%
216 35
 
0.6%
Other values (246) 3636
60.6%
ValueCountFrequency (%)
0 1814
30.2%
1 166
 
2.8%
2 81
 
1.4%
3 40
 
0.7%
4 27
 
0.4%
ValueCountFrequency (%)
255 76
1.3%
254 14
 
0.2%
253 4
 
0.1%
252 7
 
0.1%
251 9
 
0.1%

290
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.9403333
Minimum0
Maximum255
Zeros1488
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.326753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median123
Q3198
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation90.32235305
Coefficient of variation (CV)0.8068794362
Kurtosis-1.566878103
Mean111.9403333
Median Absolute Deviation (MAD)89
Skewness-0.04475022904
Sum671642
Variance8158.127461
MonotonicityNot monotonic
2025-03-21T22:39:23.395678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1488
 
24.8%
1 114
 
1.9%
255 94
 
1.6%
2 62
 
1.0%
3 52
 
0.9%
216 48
 
0.8%
227 47
 
0.8%
224 46
 
0.8%
217 43
 
0.7%
202 40
 
0.7%
Other values (246) 3966
66.1%
ValueCountFrequency (%)
0 1488
24.8%
1 114
 
1.9%
2 62
 
1.0%
3 52
 
0.9%
4 35
 
0.6%
ValueCountFrequency (%)
255 94
1.6%
254 9
 
0.1%
253 11
 
0.2%
252 6
 
0.1%
251 6
 
0.1%

291
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.5891667
Minimum0
Maximum255
Zeros1338
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.462740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median129
Q3199
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation87.94975597
Coefficient of variation (CV)0.7608823431
Kurtosis-1.513683627
Mean115.5891667
Median Absolute Deviation (MAD)82
Skewness-0.127913209
Sum693535
Variance7735.159576
MonotonicityNot monotonic
2025-03-21T22:39:23.529873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1338
 
22.3%
1 84
 
1.4%
255 68
 
1.1%
2 64
 
1.1%
214 49
 
0.8%
220 46
 
0.8%
205 45
 
0.8%
216 44
 
0.7%
227 43
 
0.7%
3 42
 
0.7%
Other values (246) 4177
69.6%
ValueCountFrequency (%)
0 1338
22.3%
1 84
 
1.4%
2 64
 
1.1%
3 42
 
0.7%
4 20
 
0.3%
ValueCountFrequency (%)
255 68
1.1%
254 6
 
0.1%
253 8
 
0.1%
252 5
 
0.1%
251 4
 
0.1%

292
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.7181667
Minimum0
Maximum255
Zeros1081
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.594702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median139
Q3203
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)174

Descriptive statistics

Standard deviation87.31523003
Coefficient of variation (CV)0.7115102222
Kurtosis-1.452040701
Mean122.7181667
Median Absolute Deviation (MAD)76
Skewness-0.202872595
Sum736309
Variance7623.949395
MonotonicityNot monotonic
2025-03-21T22:39:23.663868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1081
 
18.0%
255 97
 
1.6%
1 86
 
1.4%
2 52
 
0.9%
224 48
 
0.8%
211 47
 
0.8%
214 47
 
0.8%
228 45
 
0.8%
230 44
 
0.7%
216 42
 
0.7%
Other values (246) 4411
73.5%
ValueCountFrequency (%)
0 1081
18.0%
1 86
 
1.4%
2 52
 
0.9%
3 23
 
0.4%
4 22
 
0.4%
ValueCountFrequency (%)
255 97
1.6%
254 18
 
0.3%
253 14
 
0.2%
252 10
 
0.2%
251 6
 
0.1%

293
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.343
Minimum0
Maximum255
Zeros843
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.731222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q154
median145
Q3203
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)149

Descriptive statistics

Standard deviation82.92808046
Coefficient of variation (CV)0.6461441642
Kurtosis-1.303716545
Mean128.343
Median Absolute Deviation (MAD)68
Skewness-0.3069275172
Sum770058
Variance6877.066529
MonotonicityNot monotonic
2025-03-21T22:39:23.798020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 843
 
14.1%
255 65
 
1.1%
1 60
 
1.0%
213 52
 
0.9%
218 49
 
0.8%
224 47
 
0.8%
211 46
 
0.8%
220 46
 
0.8%
232 44
 
0.7%
212 44
 
0.7%
Other values (246) 4704
78.4%
ValueCountFrequency (%)
0 843
14.1%
1 60
 
1.0%
2 44
 
0.7%
3 25
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
255 65
1.1%
254 13
 
0.2%
253 8
 
0.1%
252 7
 
0.1%
251 9
 
0.1%

294
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.2863333
Minimum0
Maximum255
Zeros754
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.863071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q158
median146
Q3201
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)143

Descriptive statistics

Standard deviation80.83289557
Coefficient of variation (CV)0.6252238228
Kurtosis-1.249177149
Mean129.2863333
Median Absolute Deviation (MAD)65
Skewness-0.3332644168
Sum775718
Variance6533.957006
MonotonicityNot monotonic
2025-03-21T22:39:23.929982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 754
 
12.6%
255 49
 
0.8%
214 49
 
0.8%
219 47
 
0.8%
201 47
 
0.8%
208 47
 
0.8%
231 44
 
0.7%
221 44
 
0.7%
1 43
 
0.7%
215 40
 
0.7%
Other values (246) 4836
80.6%
ValueCountFrequency (%)
0 754
12.6%
1 43
 
0.7%
2 39
 
0.7%
3 23
 
0.4%
4 9
 
0.1%
ValueCountFrequency (%)
255 49
0.8%
254 7
 
0.1%
253 8
 
0.1%
252 9
 
0.1%
251 5
 
0.1%

295
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.0753333
Minimum0
Maximum255
Zeros439
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:23.995613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q193
median171
Q3212
95-th percentile245
Maximum255
Range255
Interquartile range (IQR)119

Descriptive statistics

Standard deviation76.6592945
Coefficient of variation (CV)0.5142319174
Kurtosis-0.8119256036
Mean149.0753333
Median Absolute Deviation (MAD)51
Skewness-0.6107386718
Sum894452
Variance5876.647433
MonotonicityNot monotonic
2025-03-21T22:39:24.239865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439
 
7.3%
255 183
 
3.0%
226 60
 
1.0%
213 52
 
0.9%
214 50
 
0.8%
209 50
 
0.8%
215 50
 
0.8%
227 50
 
0.8%
216 50
 
0.8%
204 49
 
0.8%
Other values (246) 4967
82.8%
ValueCountFrequency (%)
0 439
7.3%
1 28
 
0.5%
2 25
 
0.4%
3 19
 
0.3%
4 7
 
0.1%
ValueCountFrequency (%)
255 183
3.0%
254 20
 
0.3%
253 11
 
0.2%
252 11
 
0.2%
251 17
 
0.3%

296
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.9225
Minimum0
Maximum255
Zeros414
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:24.305443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q198
median170
Q3210
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)112

Descriptive statistics

Standard deviation73.7026289
Coefficient of variation (CV)0.4916048552
Kurtosis-0.6687990888
Mean149.9225
Median Absolute Deviation (MAD)48
Skewness-0.6769419828
Sum899535
Variance5432.077507
MonotonicityNot monotonic
2025-03-21T22:39:24.373073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 414
 
6.9%
255 98
 
1.6%
215 57
 
0.9%
214 56
 
0.9%
202 55
 
0.9%
205 54
 
0.9%
226 53
 
0.9%
192 51
 
0.9%
219 51
 
0.9%
223 50
 
0.8%
Other values (245) 5061
84.4%
ValueCountFrequency (%)
0 414
6.9%
1 20
 
0.3%
2 27
 
0.4%
3 15
 
0.2%
4 4
 
0.1%
ValueCountFrequency (%)
255 98
1.6%
254 12
 
0.2%
253 5
 
0.1%
252 8
 
0.1%
251 7
 
0.1%

297
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.2635
Minimum0
Maximum255
Zeros404
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:24.440124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197
median169
Q3210
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)113

Descriptive statistics

Standard deviation73.55025045
Coefficient of variation (CV)0.4927544272
Kurtosis-0.7012226669
Mean149.2635
Median Absolute Deviation (MAD)49
Skewness-0.6553277881
Sum895581
Variance5409.639341
MonotonicityNot monotonic
2025-03-21T22:39:24.505451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 404
 
6.7%
255 79
 
1.3%
225 62
 
1.0%
213 59
 
1.0%
216 55
 
0.9%
206 55
 
0.9%
218 54
 
0.9%
210 52
 
0.9%
187 51
 
0.9%
199 50
 
0.8%
Other values (246) 5079
84.7%
ValueCountFrequency (%)
0 404
6.7%
1 22
 
0.4%
2 25
 
0.4%
3 8
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 79
1.3%
254 10
 
0.2%
253 10
 
0.2%
252 11
 
0.2%
251 10
 
0.2%

298
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.6173333
Minimum0
Maximum255
Zeros626
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:24.571700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median160
Q3209
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation79.59997441
Coefficient of variation (CV)0.566075124
Kurtosis-1.041231131
Mean140.6173333
Median Absolute Deviation (MAD)57
Skewness-0.4952835896
Sum843704
Variance6336.155926
MonotonicityNot monotonic
2025-03-21T22:39:24.641455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 626
 
10.4%
255 113
 
1.9%
194 55
 
0.9%
216 54
 
0.9%
213 53
 
0.9%
232 50
 
0.8%
214 50
 
0.8%
225 48
 
0.8%
227 47
 
0.8%
208 47
 
0.8%
Other values (246) 4857
81.0%
ValueCountFrequency (%)
0 626
10.4%
1 25
 
0.4%
2 21
 
0.4%
3 11
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 113
1.9%
254 11
 
0.2%
253 16
 
0.3%
252 6
 
0.1%
251 10
 
0.2%

299
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.3768333
Minimum0
Maximum255
Zeros1046
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:24.709316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142
median146
Q3206
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation86.22652144
Coefficient of variation (CV)0.6769403759
Kurtosis-1.389870696
Mean127.3768333
Median Absolute Deviation (MAD)70
Skewness-0.2731114273
Sum764261
Variance7435.012999
MonotonicityNot monotonic
2025-03-21T22:39:24.776439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1046
 
17.4%
255 74
 
1.2%
227 50
 
0.8%
214 48
 
0.8%
216 47
 
0.8%
220 47
 
0.8%
212 47
 
0.8%
208 46
 
0.8%
211 46
 
0.8%
223 44
 
0.7%
Other values (246) 4505
75.1%
ValueCountFrequency (%)
0 1046
17.4%
1 31
 
0.5%
2 18
 
0.3%
3 17
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 74
1.2%
254 14
 
0.2%
253 10
 
0.2%
252 8
 
0.1%
251 15
 
0.2%

300
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.2765
Minimum0
Maximum255
Zeros1530
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:24.844170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median143
Q3210
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)210

Descriptive statistics

Standard deviation93.50352685
Coefficient of variation (CV)0.770994602
Kurtosis-1.588658207
Mean121.2765
Median Absolute Deviation (MAD)81
Skewness-0.1846011879
Sum727659
Variance8742.909533
MonotonicityNot monotonic
2025-03-21T22:39:24.915442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1530
 
25.5%
255 82
 
1.4%
1 54
 
0.9%
209 52
 
0.9%
217 51
 
0.9%
213 51
 
0.9%
225 48
 
0.8%
223 48
 
0.8%
220 48
 
0.8%
211 47
 
0.8%
Other values (246) 3989
66.5%
ValueCountFrequency (%)
0 1530
25.5%
1 54
 
0.9%
2 38
 
0.6%
3 31
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 82
1.4%
254 23
 
0.4%
253 9
 
0.1%
252 6
 
0.1%
251 16
 
0.3%

301
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.1538333
Minimum0
Maximum255
Zeros1846
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:24.986592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median123
Q3204
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation94.7660801
Coefficient of variation (CV)0.8525669089
Kurtosis-1.658239069
Mean111.1538333
Median Absolute Deviation (MAD)99
Skewness-0.01589349213
Sum666923
Variance8980.609937
MonotonicityNot monotonic
2025-03-21T22:39:25.054288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1846
30.8%
255 70
 
1.2%
1 62
 
1.0%
222 52
 
0.9%
226 49
 
0.8%
204 48
 
0.8%
215 46
 
0.8%
230 44
 
0.7%
2 43
 
0.7%
213 42
 
0.7%
Other values (246) 3698
61.6%
ValueCountFrequency (%)
0 1846
30.8%
1 62
 
1.0%
2 43
 
0.7%
3 27
 
0.4%
4 22
 
0.4%
ValueCountFrequency (%)
255 70
1.2%
254 14
 
0.2%
253 12
 
0.2%
252 7
 
0.1%
251 10
 
0.2%

302
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.44016667
Minimum0
Maximum255
Zeros2077
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:25.126498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median91
Q3194
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation93.19787226
Coefficient of variation (CV)0.9467463884
Kurtosis-1.607564747
Mean98.44016667
Median Absolute Deviation (MAD)91
Skewness0.2069382447
Sum590641
Variance8685.843394
MonotonicityNot monotonic
2025-03-21T22:39:25.197212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2077
34.6%
2 59
 
1.0%
1 57
 
0.9%
255 55
 
0.9%
216 39
 
0.7%
228 37
 
0.6%
222 37
 
0.6%
220 34
 
0.6%
205 34
 
0.6%
3 34
 
0.6%
Other values (246) 3537
59.0%
ValueCountFrequency (%)
0 2077
34.6%
1 57
 
0.9%
2 59
 
1.0%
3 34
 
0.6%
4 13
 
0.2%
ValueCountFrequency (%)
255 55
0.9%
254 12
 
0.2%
253 7
 
0.1%
252 8
 
0.1%
251 9
 
0.1%

303
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.75833333
Minimum0
Maximum255
Zeros2619
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:25.261563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q3175
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)175

Descriptive statistics

Standard deviation90.53567832
Coefficient of variation (CV)1.121069177
Kurtosis-1.389872608
Mean80.75833333
Median Absolute Deviation (MAD)30
Skewness0.5250924847
Sum484550
Variance8196.709049
MonotonicityNot monotonic
2025-03-21T22:39:25.328295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2619
43.6%
1 49
 
0.8%
2 46
 
0.8%
224 33
 
0.5%
209 32
 
0.5%
213 32
 
0.5%
222 31
 
0.5%
193 31
 
0.5%
255 31
 
0.5%
208 29
 
0.5%
Other values (246) 3067
51.1%
ValueCountFrequency (%)
0 2619
43.6%
1 49
 
0.8%
2 46
 
0.8%
3 21
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 31
0.5%
254 9
 
0.1%
253 7
 
0.1%
252 6
 
0.1%
251 4
 
0.1%

304
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.22466667
Minimum0
Maximum255
Zeros3391
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:25.394083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3132
95-th percentile224.05
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation84.83733703
Coefficient of variation (CV)1.40868089
Kurtosis-0.6837492992
Mean60.22466667
Median Absolute Deviation (MAD)0
Skewness0.9820880233
Sum361348
Variance7197.373754
MonotonicityNot monotonic
2025-03-21T22:39:25.463454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3391
56.5%
1 51
 
0.9%
2 36
 
0.6%
255 35
 
0.6%
214 29
 
0.5%
200 26
 
0.4%
209 25
 
0.4%
3 24
 
0.4%
205 23
 
0.4%
207 23
 
0.4%
Other values (246) 2337
39.0%
ValueCountFrequency (%)
0 3391
56.5%
1 51
 
0.9%
2 36
 
0.6%
3 24
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
255 35
0.6%
254 8
 
0.1%
253 10
 
0.2%
252 1
 
< 0.1%
251 7
 
0.1%

305
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.81233333
Minimum0
Maximum255
Zeros3921
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:25.530266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q385.25
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)85.25

Descriptive statistics

Standard deviation79.11815676
Coefficient of variation (CV)1.654764602
Kurtosis0.1603264101
Mean47.81233333
Median Absolute Deviation (MAD)0
Skewness1.330241818
Sum286874
Variance6259.682728
MonotonicityNot monotonic
2025-03-21T22:39:25.597092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3921
65.3%
1 42
 
0.7%
255 35
 
0.6%
2 28
 
0.5%
213 23
 
0.4%
3 22
 
0.4%
209 21
 
0.4%
201 19
 
0.3%
186 18
 
0.3%
195 17
 
0.3%
Other values (245) 1854
30.9%
ValueCountFrequency (%)
0 3921
65.3%
1 42
 
0.7%
2 28
 
0.5%
3 22
 
0.4%
4 12
 
0.2%
ValueCountFrequency (%)
255 35
0.6%
254 9
 
0.1%
253 1
 
< 0.1%
252 4
 
0.1%
251 4
 
0.1%

306
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.36233333
Minimum0
Maximum255
Zeros4526
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:25.840801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile194
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.34679277
Coefficient of variation (CV)2.278562724
Kurtosis4.123132725
Mean27.36233333
Median Absolute Deviation (MAD)0
Skewness2.306405588
Sum164174
Variance3887.122568
MonotonicityNot monotonic
2025-03-21T22:39:25.906753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4526
75.4%
1 56
 
0.9%
255 47
 
0.8%
2 32
 
0.5%
3 26
 
0.4%
5 14
 
0.2%
6 14
 
0.2%
8 13
 
0.2%
71 13
 
0.2%
19 13
 
0.2%
Other values (246) 1246
 
20.8%
ValueCountFrequency (%)
0 4526
75.4%
1 56
 
0.9%
2 32
 
0.5%
3 26
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 47
0.8%
254 6
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 4
 
0.1%

307
Real number (ℝ)

Zeros 

Distinct170
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.437666667
Minimum0
Maximum237
Zeros5412
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:25.969317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40.05
Maximum237
Range237
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.30966905
Coefficient of variation (CV)4.286704295
Kurtosis29.92907628
Mean5.437666667
Median Absolute Deviation (MAD)0
Skewness5.231739335
Sum32626
Variance543.3406713
MonotonicityNot monotonic
2025-03-21T22:39:26.035252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5412
90.2%
1 63
 
1.1%
2 32
 
0.5%
3 15
 
0.2%
4 14
 
0.2%
5 12
 
0.2%
17 10
 
0.2%
7 10
 
0.2%
94 9
 
0.1%
75 9
 
0.1%
Other values (160) 414
 
6.9%
ValueCountFrequency (%)
0 5412
90.2%
1 63
 
1.1%
2 32
 
0.5%
3 15
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
237 1
< 0.1%
223 1
< 0.1%
222 1
< 0.1%
211 1
< 0.1%
209 1
< 0.1%

308
Real number (ℝ)

Zeros 

Distinct104
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.981833333
Minimum0
Maximum208
Zeros5699
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:26.101700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum208
Range208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.05096648
Coefficient of variation (CV)7.594466308
Kurtosis88.67252783
Mean1.981833333
Median Absolute Deviation (MAD)0
Skewness9.053082205
Sum11891
Variance226.5315919
MonotonicityNot monotonic
2025-03-21T22:39:26.166880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5699
95.0%
1 104
 
1.7%
2 27
 
0.4%
3 13
 
0.2%
4 11
 
0.2%
5 6
 
0.1%
6 4
 
0.1%
55 4
 
0.1%
171 3
 
0.1%
80 3
 
0.1%
Other values (94) 126
 
2.1%
ValueCountFrequency (%)
0 5699
95.0%
1 104
 
1.7%
2 27
 
0.4%
3 13
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
208 1
< 0.1%
204 1
< 0.1%
199 1
< 0.1%
196 1
< 0.1%
195 1
< 0.1%

309
Real number (ℝ)

Zeros 

Distinct166
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.836833333
Minimum0
Maximum255
Zeros5598
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:26.233910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.42503989
Coefficient of variation (CV)5.383919344
Kurtosis35.65355773
Mean5.836833333
Median Absolute Deviation (MAD)0
Skewness5.929069173
Sum35021
Variance987.5331322
MonotonicityNot monotonic
2025-03-21T22:39:26.302581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5598
93.3%
1 75
 
1.2%
2 28
 
0.5%
3 12
 
0.2%
4 12
 
0.2%
255 9
 
0.1%
8 6
 
0.1%
5 6
 
0.1%
6 4
 
0.1%
228 4
 
0.1%
Other values (156) 246
 
4.1%
ValueCountFrequency (%)
0 5598
93.3%
1 75
 
1.2%
2 28
 
0.5%
3 12
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 9
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
249 2
 
< 0.1%
247 2
 
< 0.1%

310
Real number (ℝ)

Zeros 

Distinct207
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.388833333
Minimum0
Maximum255
Zeros5409
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:26.369986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile57.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.54640769
Coefficient of variation (CV)4.356554272
Kurtosis22.26307608
Mean8.388833333
Median Absolute Deviation (MAD)0
Skewness4.747002245
Sum50333
Variance1335.639915
MonotonicityNot monotonic
2025-03-21T22:39:26.436143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5409
90.1%
1 88
 
1.5%
2 43
 
0.7%
3 28
 
0.5%
4 21
 
0.4%
5 12
 
0.2%
8 7
 
0.1%
181 5
 
0.1%
179 5
 
0.1%
151 5
 
0.1%
Other values (197) 377
 
6.3%
ValueCountFrequency (%)
0 5409
90.1%
1 88
 
1.5%
2 43
 
0.7%
3 28
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
255 4
0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%

311
Real number (ℝ)

Zeros 

Distinct241
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.201
Minimum0
Maximum255
Zeros4949
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:26.503725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile165.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.9077584
Coefficient of variation (CV)2.959581327
Kurtosis8.5900561
Mean17.201
Median Absolute Deviation (MAD)0
Skewness3.102790789
Sum103206
Variance2591.599866
MonotonicityNot monotonic
2025-03-21T22:39:26.571646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4949
82.5%
1 113
 
1.9%
2 49
 
0.8%
3 31
 
0.5%
4 19
 
0.3%
255 15
 
0.2%
5 14
 
0.2%
6 12
 
0.2%
59 9
 
0.1%
42 9
 
0.1%
Other values (231) 780
 
13.0%
ValueCountFrequency (%)
0 4949
82.5%
1 113
 
1.9%
2 49
 
0.8%
3 31
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 15
0.2%
254 1
 
< 0.1%
253 1
 
< 0.1%
251 1
 
< 0.1%
250 2
 
< 0.1%

312
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.63183333
Minimum0
Maximum255
Zeros4015
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:26.638640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321
95-th percentile213
Maximum255
Range255
Interquartile range (IQR)21

Descriptive statistics

Standard deviation70.34337911
Coefficient of variation (CV)1.974172321
Kurtosis1.94726577
Mean35.63183333
Median Absolute Deviation (MAD)0
Skewness1.847268003
Sum213791
Variance4948.190985
MonotonicityNot monotonic
2025-03-21T22:39:26.703977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4015
66.9%
1 180
 
3.0%
2 82
 
1.4%
3 44
 
0.7%
4 31
 
0.5%
255 29
 
0.5%
5 20
 
0.3%
170 15
 
0.2%
25 14
 
0.2%
211 13
 
0.2%
Other values (246) 1557
 
25.9%
ValueCountFrequency (%)
0 4015
66.9%
1 180
 
3.0%
2 82
 
1.4%
3 44
 
0.7%
4 31
 
0.5%
ValueCountFrequency (%)
255 29
0.5%
254 2
 
< 0.1%
253 4
 
0.1%
252 2
 
< 0.1%
251 4
 
0.1%

313
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.81466667
Minimum0
Maximum255
Zeros3301
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:26.772520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3128
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)128

Descriptive statistics

Standard deviation86.36580628
Coefficient of variation (CV)1.443890121
Kurtosis-0.5882099192
Mean59.81466667
Median Absolute Deviation (MAD)0
Skewness1.029577332
Sum358888
Variance7459.052494
MonotonicityNot monotonic
2025-03-21T22:39:26.845291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3301
55.0%
1 160
 
2.7%
2 81
 
1.4%
255 73
 
1.2%
3 54
 
0.9%
4 38
 
0.6%
214 25
 
0.4%
200 24
 
0.4%
196 21
 
0.4%
206 21
 
0.4%
Other values (246) 2202
36.7%
ValueCountFrequency (%)
0 3301
55.0%
1 160
 
2.7%
2 81
 
1.4%
3 54
 
0.9%
4 38
 
0.6%
ValueCountFrequency (%)
255 73
1.2%
254 13
 
0.2%
253 8
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

314
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.43733333
Minimum0
Maximum255
Zeros3039
Zeros (%)50.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:26.914517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3170
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)170

Descriptive statistics

Standard deviation92.12736645
Coefficient of variation (CV)1.271821617
Kurtosis-1.188842403
Mean72.43733333
Median Absolute Deviation (MAD)0
Skewness0.7263876731
Sum434624
Variance8487.451648
MonotonicityNot monotonic
2025-03-21T22:39:26.984098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3039
50.6%
1 117
 
1.9%
2 74
 
1.2%
255 52
 
0.9%
3 30
 
0.5%
216 29
 
0.5%
212 29
 
0.5%
223 29
 
0.5%
215 27
 
0.4%
213 25
 
0.4%
Other values (245) 2549
42.5%
ValueCountFrequency (%)
0 3039
50.6%
1 117
 
1.9%
2 74
 
1.2%
3 30
 
0.5%
4 23
 
0.4%
ValueCountFrequency (%)
255 52
0.9%
254 11
 
0.2%
253 10
 
0.2%
252 8
 
0.1%
251 12
 
0.2%

315
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.20166667
Minimum0
Maximum255
Zeros2699
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:27.052806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q3188
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation96.13571142
Coefficient of variation (CV)1.128331348
Kurtosis-1.491972477
Mean85.20166667
Median Absolute Deviation (MAD)13
Skewness0.4780285089
Sum511210
Variance9242.07501
MonotonicityNot monotonic
2025-03-21T22:39:27.311881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2699
45.0%
1 117
 
1.9%
255 88
 
1.5%
2 57
 
0.9%
220 37
 
0.6%
210 35
 
0.6%
3 34
 
0.6%
217 33
 
0.5%
235 30
 
0.5%
230 30
 
0.5%
Other values (246) 2840
47.3%
ValueCountFrequency (%)
0 2699
45.0%
1 117
 
1.9%
2 57
 
0.9%
3 34
 
0.6%
4 30
 
0.5%
ValueCountFrequency (%)
255 88
1.5%
254 18
 
0.3%
253 18
 
0.3%
252 8
 
0.1%
251 6
 
0.1%

316
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.08966667
Minimum0
Maximum255
Zeros2246
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:27.378608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71
Q3190
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation94.44368637
Coefficient of variation (CV)1.014545328
Kurtosis-1.554799774
Mean93.08966667
Median Absolute Deviation (MAD)71
Skewness0.3253411411
Sum558538
Variance8919.609895
MonotonicityNot monotonic
2025-03-21T22:39:27.448026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2246
37.4%
1 149
 
2.5%
255 78
 
1.3%
2 68
 
1.1%
3 44
 
0.7%
211 39
 
0.7%
221 37
 
0.6%
216 35
 
0.6%
228 34
 
0.6%
220 34
 
0.6%
Other values (246) 3236
53.9%
ValueCountFrequency (%)
0 2246
37.4%
1 149
 
2.5%
2 68
 
1.1%
3 44
 
0.7%
4 21
 
0.4%
ValueCountFrequency (%)
255 78
1.3%
254 13
 
0.2%
253 13
 
0.2%
252 9
 
0.1%
251 7
 
0.1%

317
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.5186667
Minimum0
Maximum255
Zeros1607
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:27.515007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median103
Q3193
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation90.99212555
Coefficient of variation (CV)0.8789924415
Kurtosis-1.571278662
Mean103.5186667
Median Absolute Deviation (MAD)101
Skewness0.1210217462
Sum621112
Variance8279.566913
MonotonicityNot monotonic
2025-03-21T22:39:27.592185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1607
26.8%
1 177
 
2.9%
255 89
 
1.5%
2 74
 
1.2%
213 39
 
0.7%
3 38
 
0.6%
203 38
 
0.6%
196 36
 
0.6%
211 36
 
0.6%
4 35
 
0.6%
Other values (246) 3831
63.8%
ValueCountFrequency (%)
0 1607
26.8%
1 177
 
2.9%
2 74
 
1.2%
3 38
 
0.6%
4 35
 
0.6%
ValueCountFrequency (%)
255 89
1.5%
254 14
 
0.2%
253 5
 
0.1%
252 14
 
0.2%
251 5
 
0.1%

318
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.672
Minimum0
Maximum255
Zeros1162
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:27.657618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median131
Q3201
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation87.6849694
Coefficient of variation (CV)0.7388850731
Kurtosis-1.482069351
Mean118.672
Median Absolute Deviation (MAD)79
Skewness-0.1439618224
Sum712032
Variance7688.653858
MonotonicityNot monotonic
2025-03-21T22:39:27.727801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1162
 
19.4%
255 101
 
1.7%
1 101
 
1.7%
218 57
 
0.9%
2 51
 
0.9%
227 46
 
0.8%
214 45
 
0.8%
226 44
 
0.7%
210 44
 
0.7%
217 41
 
0.7%
Other values (246) 4308
71.8%
ValueCountFrequency (%)
0 1162
19.4%
1 101
 
1.7%
2 51
 
0.9%
3 35
 
0.6%
4 28
 
0.5%
ValueCountFrequency (%)
255 101
1.7%
254 12
 
0.2%
253 8
 
0.1%
252 10
 
0.2%
251 9
 
0.1%

319
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.0536667
Minimum0
Maximum255
Zeros942
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:27.797301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median141
Q3202
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)157

Descriptive statistics

Standard deviation84.17001773
Coefficient of variation (CV)0.67307117
Kurtosis-1.363503293
Mean125.0536667
Median Absolute Deviation (MAD)70
Skewness-0.2717091934
Sum750322
Variance7084.591885
MonotonicityNot monotonic
2025-03-21T22:39:27.867406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 942
 
15.7%
1 73
 
1.2%
215 54
 
0.9%
2 54
 
0.9%
255 50
 
0.8%
207 48
 
0.8%
201 47
 
0.8%
216 46
 
0.8%
211 45
 
0.8%
3 44
 
0.7%
Other values (246) 4597
76.6%
ValueCountFrequency (%)
0 942
15.7%
1 73
 
1.2%
2 54
 
0.9%
3 44
 
0.7%
4 21
 
0.4%
ValueCountFrequency (%)
255 50
0.8%
254 11
 
0.2%
253 7
 
0.1%
252 3
 
0.1%
251 3
 
0.1%

320
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.8526667
Minimum0
Maximum255
Zeros792
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:27.935086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162
median153
Q3207
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)145

Descriptive statistics

Standard deviation82.78357011
Coefficient of variation (CV)0.6184678435
Kurtosis-1.221146393
Mean133.8526667
Median Absolute Deviation (MAD)63
Skewness-0.3879804313
Sum803116
Variance6853.119479
MonotonicityNot monotonic
2025-03-21T22:39:28.002517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 792
 
13.2%
255 111
 
1.8%
216 51
 
0.9%
228 48
 
0.8%
225 47
 
0.8%
1 46
 
0.8%
210 45
 
0.8%
230 44
 
0.7%
199 43
 
0.7%
231 43
 
0.7%
Other values (246) 4730
78.8%
ValueCountFrequency (%)
0 792
13.2%
1 46
 
0.8%
2 39
 
0.7%
3 20
 
0.3%
4 19
 
0.3%
ValueCountFrequency (%)
255 111
1.8%
254 16
 
0.3%
253 14
 
0.2%
252 13
 
0.2%
251 6
 
0.1%

321
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.0131667
Minimum0
Maximum255
Zeros698
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:28.068700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q167
median152
Q3204
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation80.46555647
Coefficient of variation (CV)0.6004302299
Kurtosis-1.168583527
Mean134.0131667
Median Absolute Deviation (MAD)61
Skewness-0.4042298195
Sum804079
Variance6474.705778
MonotonicityNot monotonic
2025-03-21T22:39:28.133706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 698
 
11.6%
255 74
 
1.2%
1 54
 
0.9%
228 51
 
0.9%
225 49
 
0.8%
220 47
 
0.8%
208 47
 
0.8%
212 46
 
0.8%
213 44
 
0.7%
211 43
 
0.7%
Other values (246) 4847
80.8%
ValueCountFrequency (%)
0 698
11.6%
1 54
 
0.9%
2 27
 
0.4%
3 20
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 74
1.2%
254 12
 
0.2%
253 7
 
0.1%
252 3
 
0.1%
251 4
 
0.1%

322
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.92
Minimum0
Maximum255
Zeros750
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:28.199758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median151
Q3203
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation79.89948219
Coefficient of variation (CV)0.6011095561
Kurtosis-1.177244315
Mean132.92
Median Absolute Deviation (MAD)61
Skewness-0.4109485511
Sum797520
Variance6383.927255
MonotonicityNot monotonic
2025-03-21T22:39:28.265486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 750
 
12.5%
224 49
 
0.8%
221 48
 
0.8%
196 47
 
0.8%
201 46
 
0.8%
207 45
 
0.8%
204 45
 
0.8%
190 45
 
0.8%
219 44
 
0.7%
215 44
 
0.7%
Other values (246) 4837
80.6%
ValueCountFrequency (%)
0 750
12.5%
1 36
 
0.6%
2 17
 
0.3%
3 10
 
0.2%
4 15
 
0.2%
ValueCountFrequency (%)
255 35
0.6%
254 6
 
0.1%
253 5
 
0.1%
252 3
 
0.1%
251 6
 
0.1%

323
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.3848333
Minimum0
Maximum255
Zeros393
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:28.332178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199
median172
Q3212
95-th percentile244.05
Maximum255
Range255
Interquartile range (IQR)113

Descriptive statistics

Standard deviation74.58521231
Coefficient of variation (CV)0.4926861606
Kurtosis-0.6841405455
Mean151.3848333
Median Absolute Deviation (MAD)49
Skewness-0.6560879292
Sum908309
Variance5562.953896
MonotonicityNot monotonic
2025-03-21T22:39:28.397690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393
 
6.6%
255 166
 
2.8%
217 56
 
0.9%
231 55
 
0.9%
225 54
 
0.9%
202 52
 
0.9%
196 52
 
0.9%
206 51
 
0.9%
209 50
 
0.8%
229 50
 
0.8%
Other values (246) 5021
83.7%
ValueCountFrequency (%)
0 393
6.6%
1 25
 
0.4%
2 24
 
0.4%
3 13
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 166
2.8%
254 21
 
0.4%
253 13
 
0.2%
252 11
 
0.2%
251 13
 
0.2%

324
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.2345
Minimum0
Maximum255
Zeros380
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:28.464097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1103
median173
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation72.30489271
Coefficient of variation (CV)0.4749573369
Kurtosis-0.5699741639
Mean152.2345
Median Absolute Deviation (MAD)46.5
Skewness-0.7275712049
Sum913407
Variance5227.997509
MonotonicityNot monotonic
2025-03-21T22:39:28.530766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 380
 
6.3%
255 79
 
1.3%
221 62
 
1.0%
217 60
 
1.0%
225 59
 
1.0%
222 56
 
0.9%
187 56
 
0.9%
211 54
 
0.9%
203 53
 
0.9%
219 53
 
0.9%
Other values (246) 5088
84.8%
ValueCountFrequency (%)
0 380
6.3%
1 32
 
0.5%
2 20
 
0.3%
3 8
 
0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
255 79
1.3%
254 9
 
0.1%
253 10
 
0.2%
252 9
 
0.1%
251 5
 
0.1%

325
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.1723333
Minimum0
Maximum255
Zeros330
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:28.595477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1104
median172
Q3210
95-th percentile237.05
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation71.7487929
Coefficient of variation (CV)0.4714969622
Kurtosis-0.5658177469
Mean152.1723333
Median Absolute Deviation (MAD)47
Skewness-0.7193586201
Sum913034
Variance5147.889283
MonotonicityNot monotonic
2025-03-21T22:39:28.663101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
 
5.5%
255 78
 
1.3%
219 62
 
1.0%
225 60
 
1.0%
196 56
 
0.9%
209 55
 
0.9%
213 54
 
0.9%
226 54
 
0.9%
227 52
 
0.9%
210 52
 
0.9%
Other values (246) 5147
85.8%
ValueCountFrequency (%)
0 330
5.5%
1 30
 
0.5%
2 20
 
0.3%
3 13
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 78
1.3%
254 16
 
0.3%
253 9
 
0.1%
252 7
 
0.1%
251 7
 
0.1%

326
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.0116667
Minimum0
Maximum255
Zeros469
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:28.916303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189
median166
Q3211
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)122

Descriptive statistics

Standard deviation77.2091925
Coefficient of variation (CV)0.5287878309
Kurtosis-0.8925438361
Mean146.0116667
Median Absolute Deviation (MAD)53
Skewness-0.5635139391
Sum876070
Variance5961.259407
MonotonicityNot monotonic
2025-03-21T22:39:28.986253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 469
 
7.8%
255 136
 
2.3%
211 55
 
0.9%
224 53
 
0.9%
215 51
 
0.9%
222 50
 
0.8%
213 49
 
0.8%
206 49
 
0.8%
216 48
 
0.8%
217 48
 
0.8%
Other values (246) 4992
83.2%
ValueCountFrequency (%)
0 469
7.8%
1 31
 
0.5%
2 19
 
0.3%
3 10
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 136
2.3%
254 20
 
0.3%
253 14
 
0.2%
252 9
 
0.1%
251 14
 
0.2%

327
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.9075
Minimum0
Maximum255
Zeros899
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:29.052772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q153
median151
Q3208
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)155

Descriptive statistics

Standard deviation84.55364075
Coefficient of variation (CV)0.641007075
Kurtosis-1.305681686
Mean131.9075
Median Absolute Deviation (MAD)67
Skewness-0.3433788725
Sum791445
Variance7149.318163
MonotonicityNot monotonic
2025-03-21T22:39:29.122125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
 
15.0%
255 81
 
1.4%
222 54
 
0.9%
219 52
 
0.9%
223 50
 
0.8%
210 48
 
0.8%
201 47
 
0.8%
216 47
 
0.8%
213 43
 
0.7%
230 43
 
0.7%
Other values (246) 4636
77.3%
ValueCountFrequency (%)
0 899
15.0%
1 25
 
0.4%
2 19
 
0.3%
3 13
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 81
1.4%
254 9
 
0.1%
253 12
 
0.2%
252 16
 
0.3%
251 15
 
0.2%

328
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.6118333
Minimum0
Maximum255
Zeros1376
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:29.188695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median147
Q3210
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation91.66531286
Coefficient of variation (CV)0.7356068072
Kurtosis-1.521728957
Mean124.6118333
Median Absolute Deviation (MAD)76
Skewness-0.2366255922
Sum747671
Variance8402.529582
MonotonicityNot monotonic
2025-03-21T22:39:29.259983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1376
 
22.9%
255 96
 
1.6%
220 51
 
0.9%
217 50
 
0.8%
213 49
 
0.8%
222 49
 
0.8%
224 48
 
0.8%
212 48
 
0.8%
215 46
 
0.8%
2 45
 
0.8%
Other values (246) 4142
69.0%
ValueCountFrequency (%)
0 1376
22.9%
1 43
 
0.7%
2 45
 
0.8%
3 31
 
0.5%
4 9
 
0.1%
ValueCountFrequency (%)
255 96
1.6%
254 27
 
0.4%
253 11
 
0.2%
252 16
 
0.3%
251 11
 
0.2%

329
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.1786667
Minimum0
Maximum255
Zeros1736
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:29.327569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median128.5
Q3205
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation93.52129054
Coefficient of variation (CV)0.8190784957
Kurtosis-1.626733349
Mean114.1786667
Median Absolute Deviation (MAD)91.5
Skewness-0.06891015401
Sum685072
Variance8746.231784
MonotonicityNot monotonic
2025-03-21T22:39:29.399274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1736
28.9%
255 76
 
1.3%
1 49
 
0.8%
228 49
 
0.8%
214 45
 
0.8%
220 44
 
0.7%
217 43
 
0.7%
225 43
 
0.7%
212 39
 
0.7%
210 38
 
0.6%
Other values (245) 3838
64.0%
ValueCountFrequency (%)
0 1736
28.9%
1 49
 
0.8%
2 30
 
0.5%
3 10
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 76
1.3%
254 14
 
0.2%
253 11
 
0.2%
252 18
 
0.3%
251 5
 
0.1%

330
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.6916667
Minimum0
Maximum255
Zeros2010
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:29.469008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3195
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation93.00169792
Coefficient of variation (CV)0.9056401648
Kurtosis-1.61550442
Mean102.6916667
Median Absolute Deviation (MAD)100
Skewness0.1319455904
Sum616150
Variance8649.315817
MonotonicityNot monotonic
2025-03-21T22:39:29.536777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2010
33.5%
255 74
 
1.2%
213 48
 
0.8%
223 44
 
0.7%
1 41
 
0.7%
222 39
 
0.7%
224 37
 
0.6%
197 37
 
0.6%
211 35
 
0.6%
225 35
 
0.6%
Other values (246) 3600
60.0%
ValueCountFrequency (%)
0 2010
33.5%
1 41
 
0.7%
2 28
 
0.5%
3 22
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 74
1.2%
254 11
 
0.2%
253 17
 
0.3%
252 9
 
0.1%
251 12
 
0.2%

331
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.9715
Minimum0
Maximum255
Zeros2469
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:29.600711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median49
Q3178
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation90.95963737
Coefficient of variation (CV)1.070472304
Kurtosis-1.442301092
Mean84.9715
Median Absolute Deviation (MAD)49
Skewness0.4513762983
Sum509829
Variance8273.65563
MonotonicityNot monotonic
2025-03-21T22:39:29.668477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2469
41.1%
1 54
 
0.9%
255 53
 
0.9%
206 41
 
0.7%
212 35
 
0.6%
2 35
 
0.6%
201 34
 
0.6%
217 33
 
0.5%
207 33
 
0.5%
230 32
 
0.5%
Other values (246) 3181
53.0%
ValueCountFrequency (%)
0 2469
41.1%
1 54
 
0.9%
2 35
 
0.6%
3 27
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
255 53
0.9%
254 8
 
0.1%
253 8
 
0.1%
252 8
 
0.1%
251 9
 
0.1%

332
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.98
Minimum0
Maximum255
Zeros3271
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:29.734587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3144.25
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)144.25

Descriptive statistics

Standard deviation86.11446385
Coefficient of variation (CV)1.34595911
Kurtosis-0.903536289
Mean63.98
Median Absolute Deviation (MAD)0
Skewness0.8740182324
Sum383880
Variance7415.700883
MonotonicityNot monotonic
2025-03-21T22:39:29.803885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3271
54.5%
1 50
 
0.8%
2 32
 
0.5%
206 30
 
0.5%
255 30
 
0.5%
196 29
 
0.5%
209 26
 
0.4%
204 26
 
0.4%
202 25
 
0.4%
207 24
 
0.4%
Other values (245) 2457
40.9%
ValueCountFrequency (%)
0 3271
54.5%
1 50
 
0.8%
2 32
 
0.5%
3 20
 
0.3%
4 17
 
0.3%
ValueCountFrequency (%)
255 30
0.5%
254 2
 
< 0.1%
253 4
 
0.1%
252 7
 
0.1%
251 3
 
0.1%

333
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.15966667
Minimum0
Maximum255
Zeros3813
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:29.873581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3113
95-th percentile223.05
Maximum255
Range255
Interquartile range (IQR)113

Descriptive statistics

Standard deviation82.97086156
Coefficient of variation (CV)1.560785963
Kurtosis-0.3129716827
Mean53.15966667
Median Absolute Deviation (MAD)0
Skewness1.162578403
Sum318958
Variance6884.163867
MonotonicityNot monotonic
2025-03-21T22:39:29.939379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3813
63.5%
1 45
 
0.8%
255 27
 
0.4%
215 24
 
0.4%
2 22
 
0.4%
195 19
 
0.3%
174 19
 
0.3%
176 18
 
0.3%
221 18
 
0.3%
214 18
 
0.3%
Other values (245) 1977
33.0%
ValueCountFrequency (%)
0 3813
63.5%
1 45
 
0.8%
2 22
 
0.4%
3 14
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 27
0.4%
254 7
 
0.1%
253 5
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

334
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.47583333
Minimum0
Maximum255
Zeros4370
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:30.004408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)7

Descriptive statistics

Standard deviation68.60351903
Coefficient of variation (CV)2.049344623
Kurtosis2.402579376
Mean33.47583333
Median Absolute Deviation (MAD)0
Skewness1.944626209
Sum200855
Variance4706.442823
MonotonicityNot monotonic
2025-03-21T22:39:30.070785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4370
72.8%
255 62
 
1.0%
1 45
 
0.8%
2 25
 
0.4%
3 17
 
0.3%
4 16
 
0.3%
219 14
 
0.2%
208 13
 
0.2%
193 12
 
0.2%
6 12
 
0.2%
Other values (246) 1414
 
23.6%
ValueCountFrequency (%)
0 4370
72.8%
1 45
 
0.8%
2 25
 
0.4%
3 17
 
0.3%
4 16
 
0.3%
ValueCountFrequency (%)
255 62
1.0%
254 4
 
0.1%
253 3
 
0.1%
252 7
 
0.1%
251 2
 
< 0.1%

335
Real number (ℝ)

Zeros 

Distinct168
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.568666667
Minimum0
Maximum239
Zeros5290
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:30.137704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile53.05
Maximum239
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.93623042
Coefficient of variation (CV)3.79623928
Kurtosis22.99221026
Mean6.568666667
Median Absolute Deviation (MAD)0
Skewness4.613235804
Sum39412
Variance621.8155875
MonotonicityNot monotonic
2025-03-21T22:39:30.391988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5290
88.2%
1 69
 
1.1%
2 33
 
0.5%
3 16
 
0.3%
4 12
 
0.2%
24 11
 
0.2%
12 10
 
0.2%
37 10
 
0.2%
13 10
 
0.2%
76 9
 
0.1%
Other values (158) 530
 
8.8%
ValueCountFrequency (%)
0 5290
88.2%
1 69
 
1.1%
2 33
 
0.5%
3 16
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
239 1
< 0.1%
218 1
< 0.1%
213 1
< 0.1%
200 2
< 0.1%
194 1
< 0.1%

336
Real number (ℝ)

Zeros 

Distinct117
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.314
Minimum0
Maximum239
Zeros5488
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:30.457320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum239
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.03012471
Coefficient of variation (CV)6.927452337
Kurtosis83.62228415
Mean2.314
Median Absolute Deviation (MAD)0
Skewness8.702166425
Sum13884
Variance256.9648981
MonotonicityNot monotonic
2025-03-21T22:39:30.526439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5488
91.5%
1 237
 
4.0%
2 61
 
1.0%
3 18
 
0.3%
4 15
 
0.2%
5 9
 
0.1%
6 6
 
0.1%
76 5
 
0.1%
44 5
 
0.1%
34 4
 
0.1%
Other values (107) 152
 
2.5%
ValueCountFrequency (%)
0 5488
91.5%
1 237
 
4.0%
2 61
 
1.0%
3 18
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
239 1
< 0.1%
214 1
< 0.1%
197 1
< 0.1%
191 1
< 0.1%
189 2
< 0.1%

337
Real number (ℝ)

Zeros 

Distinct174
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.598666667
Minimum0
Maximum255
Zeros5367
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:30.594163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.69195932
Coefficient of variation (CV)5.105873811
Kurtosis32.3319786
Mean6.598666667
Median Absolute Deviation (MAD)0
Skewness5.669589611
Sum39592
Variance1135.148123
MonotonicityNot monotonic
2025-03-21T22:39:30.662562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5367
89.5%
1 173
 
2.9%
2 74
 
1.2%
3 45
 
0.8%
4 18
 
0.3%
5 17
 
0.3%
255 16
 
0.3%
6 8
 
0.1%
8 8
 
0.1%
7 6
 
0.1%
Other values (164) 268
 
4.5%
ValueCountFrequency (%)
0 5367
89.5%
1 173
 
2.9%
2 74
 
1.2%
3 45
 
0.8%
4 18
 
0.3%
ValueCountFrequency (%)
255 16
0.3%
254 1
 
< 0.1%
253 2
 
< 0.1%
251 1
 
< 0.1%
249 3
 
0.1%

338
Real number (ℝ)

Zeros 

Distinct201
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.218333333
Minimum0
Maximum255
Zeros5220
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:30.728814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile70
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.64070196
Coefficient of variation (CV)4.191723228
Kurtosis20.21683546
Mean9.218333333
Median Absolute Deviation (MAD)0
Skewness4.55165443
Sum55310
Variance1493.103848
MonotonicityNot monotonic
2025-03-21T22:39:30.796433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5220
87.0%
1 167
 
2.8%
2 88
 
1.5%
3 59
 
1.0%
4 23
 
0.4%
5 12
 
0.2%
6 12
 
0.2%
7 11
 
0.2%
255 8
 
0.1%
96 6
 
0.1%
Other values (191) 394
 
6.6%
ValueCountFrequency (%)
0 5220
87.0%
1 167
 
2.8%
2 88
 
1.5%
3 59
 
1.0%
4 23
 
0.4%
ValueCountFrequency (%)
255 8
0.1%
253 2
 
< 0.1%
248 1
 
< 0.1%
245 2
 
< 0.1%
244 2
 
< 0.1%

339
Real number (ℝ)

Zeros 

Distinct242
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.6015
Minimum0
Maximum255
Zeros4796
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:30.863071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.79362053
Coefficient of variation (CV)2.942568561
Kurtosis8.627753942
Mean17.6015
Median Absolute Deviation (MAD)0
Skewness3.109612227
Sum105609
Variance2682.579128
MonotonicityNot monotonic
2025-03-21T22:39:30.930000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4796
79.9%
1 161
 
2.7%
2 90
 
1.5%
3 53
 
0.9%
4 30
 
0.5%
5 22
 
0.4%
255 17
 
0.3%
19 10
 
0.2%
14 10
 
0.2%
27 10
 
0.2%
Other values (232) 801
 
13.4%
ValueCountFrequency (%)
0 4796
79.9%
1 161
 
2.7%
2 90
 
1.5%
3 53
 
0.9%
4 30
 
0.5%
ValueCountFrequency (%)
255 17
0.3%
254 3
 
0.1%
253 1
 
< 0.1%
251 4
 
0.1%
250 1
 
< 0.1%

340
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.95
Minimum0
Maximum255
Zeros3750
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:30.995974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q324
95-th percentile212.05
Maximum255
Range255
Interquartile range (IQR)24

Descriptive statistics

Standard deviation70.30500432
Coefficient of variation (CV)1.955632944
Kurtosis1.981025356
Mean35.95
Median Absolute Deviation (MAD)0
Skewness1.849004032
Sum215700
Variance4942.793632
MonotonicityNot monotonic
2025-03-21T22:39:31.062662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3750
62.5%
1 262
 
4.4%
2 132
 
2.2%
3 83
 
1.4%
4 57
 
0.9%
5 41
 
0.7%
255 30
 
0.5%
6 23
 
0.4%
7 19
 
0.3%
254 14
 
0.2%
Other values (245) 1589
26.5%
ValueCountFrequency (%)
0 3750
62.5%
1 262
 
4.4%
2 132
 
2.2%
3 83
 
1.4%
4 57
 
0.9%
ValueCountFrequency (%)
255 30
0.5%
254 14
0.2%
253 5
 
0.1%
252 5
 
0.1%
251 3
 
0.1%

341
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.26733333
Minimum0
Maximum255
Zeros3238
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:31.128334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3128
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)128

Descriptive statistics

Standard deviation86.50098228
Coefficient of variation (CV)1.459505218
Kurtosis-0.5624465636
Mean59.26733333
Median Absolute Deviation (MAD)0
Skewness1.04744573
Sum355604
Variance7482.419936
MonotonicityNot monotonic
2025-03-21T22:39:31.197861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3238
54.0%
1 189
 
3.1%
2 96
 
1.6%
255 71
 
1.2%
3 59
 
1.0%
4 50
 
0.8%
5 28
 
0.5%
203 23
 
0.4%
194 20
 
0.3%
241 19
 
0.3%
Other values (246) 2207
36.8%
ValueCountFrequency (%)
0 3238
54.0%
1 189
 
3.1%
2 96
 
1.6%
3 59
 
1.0%
4 50
 
0.8%
ValueCountFrequency (%)
255 71
1.2%
254 17
 
0.3%
253 10
 
0.2%
252 3
 
0.1%
251 4
 
0.1%

342
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.37666667
Minimum0
Maximum255
Zeros2961
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:31.263918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3166
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)166

Descriptive statistics

Standard deviation91.57323516
Coefficient of variation (CV)1.282957575
Kurtosis-1.133705817
Mean71.37666667
Median Absolute Deviation (MAD)1
Skewness0.7564687264
Sum428260
Variance8385.657398
MonotonicityNot monotonic
2025-03-21T22:39:31.331759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2961
49.4%
1 146
 
2.4%
2 72
 
1.2%
255 59
 
1.0%
3 44
 
0.7%
4 32
 
0.5%
234 30
 
0.5%
199 29
 
0.5%
217 29
 
0.5%
198 27
 
0.4%
Other values (246) 2571
42.9%
ValueCountFrequency (%)
0 2961
49.4%
1 146
 
2.4%
2 72
 
1.2%
3 44
 
0.7%
4 32
 
0.5%
ValueCountFrequency (%)
255 59
1.0%
254 9
 
0.1%
253 7
 
0.1%
252 10
 
0.2%
251 1
 
< 0.1%

343
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.9315
Minimum0
Maximum255
Zeros2509
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:31.398353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median31
Q3184
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation94.59872776
Coefficient of variation (CV)1.11382382
Kurtosis-1.44268154
Mean84.9315
Median Absolute Deviation (MAD)31
Skewness0.4949649269
Sum509589
Variance8948.919294
MonotonicityNot monotonic
2025-03-21T22:39:31.464735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2509
41.8%
1 127
 
2.1%
255 88
 
1.5%
2 72
 
1.2%
3 38
 
0.6%
225 35
 
0.6%
230 32
 
0.5%
203 31
 
0.5%
4 31
 
0.5%
208 29
 
0.5%
Other values (246) 3008
50.1%
ValueCountFrequency (%)
0 2509
41.8%
1 127
 
2.1%
2 72
 
1.2%
3 38
 
0.6%
4 31
 
0.5%
ValueCountFrequency (%)
255 88
1.5%
254 14
 
0.2%
253 13
 
0.2%
252 16
 
0.3%
251 13
 
0.2%

344
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.31733333
Minimum0
Maximum255
Zeros1897
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:31.529135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84
Q3190
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation92.7388828
Coefficient of variation (CV)0.952953391
Kurtosis-1.534873985
Mean97.31733333
Median Absolute Deviation (MAD)84
Skewness0.2636737123
Sum583904
Variance8600.500383
MonotonicityNot monotonic
2025-03-21T22:39:31.594849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1897
31.6%
1 145
 
2.4%
255 98
 
1.6%
2 91
 
1.5%
227 41
 
0.7%
4 40
 
0.7%
3 36
 
0.6%
193 35
 
0.6%
229 34
 
0.6%
216 34
 
0.6%
Other values (246) 3549
59.2%
ValueCountFrequency (%)
0 1897
31.6%
1 145
 
2.4%
2 91
 
1.5%
3 36
 
0.6%
4 40
 
0.7%
ValueCountFrequency (%)
255 98
1.6%
254 19
 
0.3%
253 16
 
0.3%
252 11
 
0.2%
251 17
 
0.3%

345
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.9868333
Minimum0
Maximum255
Zeros1147
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:31.842746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median119
Q3195
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation88.34325336
Coefficient of variation (CV)0.7888717873
Kurtosis-1.516775943
Mean111.9868333
Median Absolute Deviation (MAD)88
Skewness-0.01908624077
Sum671921
Variance7804.530415
MonotonicityNot monotonic
2025-03-21T22:39:31.909419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1147
 
19.1%
1 162
 
2.7%
255 96
 
1.6%
2 81
 
1.4%
3 55
 
0.9%
4 52
 
0.9%
222 41
 
0.7%
208 40
 
0.7%
218 39
 
0.7%
187 37
 
0.6%
Other values (246) 4250
70.8%
ValueCountFrequency (%)
0 1147
19.1%
1 162
 
2.7%
2 81
 
1.4%
3 55
 
0.9%
4 52
 
0.9%
ValueCountFrequency (%)
255 96
1.6%
254 15
 
0.2%
253 14
 
0.2%
252 3
 
0.1%
251 3
 
0.1%

346
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.1741667
Minimum0
Maximum255
Zeros850
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:31.976856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q152
median147
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)152

Descriptive statistics

Standard deviation84.41809582
Coefficient of variation (CV)0.6535215051
Kurtosis-1.3084098
Mean129.1741667
Median Absolute Deviation (MAD)67
Skewness-0.3159534115
Sum775045
Variance7126.414902
MonotonicityNot monotonic
2025-03-21T22:39:32.043490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 850
 
14.2%
255 120
 
2.0%
1 88
 
1.5%
210 49
 
0.8%
3 48
 
0.8%
225 46
 
0.8%
227 45
 
0.8%
220 45
 
0.8%
229 44
 
0.7%
207 43
 
0.7%
Other values (246) 4622
77.0%
ValueCountFrequency (%)
0 850
14.2%
1 88
 
1.5%
2 38
 
0.6%
3 48
 
0.8%
4 37
 
0.6%
ValueCountFrequency (%)
255 120
2.0%
254 14
 
0.2%
253 8
 
0.1%
252 9
 
0.1%
251 13
 
0.2%

347
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.1443333
Minimum0
Maximum255
Zeros754
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:32.108951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median153
Q3206
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation81.41739966
Coefficient of variation (CV)0.6069387922
Kurtosis-1.166929341
Mean134.1443333
Median Absolute Deviation (MAD)61
Skewness-0.4323624228
Sum804866
Variance6628.792967
MonotonicityNot monotonic
2025-03-21T22:39:32.174874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 754
 
12.6%
1 74
 
1.2%
255 66
 
1.1%
217 56
 
0.9%
214 51
 
0.9%
220 50
 
0.8%
216 49
 
0.8%
219 48
 
0.8%
204 47
 
0.8%
184 47
 
0.8%
Other values (246) 4758
79.3%
ValueCountFrequency (%)
0 754
12.6%
1 74
 
1.2%
2 44
 
0.7%
3 29
 
0.5%
4 14
 
0.2%
ValueCountFrequency (%)
255 66
1.1%
254 6
 
0.1%
253 9
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

348
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.4571667
Minimum0
Maximum255
Zeros654
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:32.242030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176
median159
Q3208
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation79.99383102
Coefficient of variation (CV)0.5736086063
Kurtosis-1.057104977
Mean139.4571667
Median Absolute Deviation (MAD)58
Skewness-0.4887400248
Sum836743
Variance6399.013001
MonotonicityNot monotonic
2025-03-21T22:39:32.313119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 654
 
10.9%
255 89
 
1.5%
201 50
 
0.8%
208 49
 
0.8%
217 49
 
0.8%
1 47
 
0.8%
230 47
 
0.8%
223 47
 
0.8%
213 47
 
0.8%
225 46
 
0.8%
Other values (246) 4875
81.2%
ValueCountFrequency (%)
0 654
10.9%
1 47
 
0.8%
2 27
 
0.4%
3 16
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 89
1.5%
254 17
 
0.3%
253 13
 
0.2%
252 10
 
0.2%
251 11
 
0.2%

349
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.5336667
Minimum0
Maximum255
Zeros603
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:32.379398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176
median155
Q3205
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation77.87666528
Coefficient of variation (CV)0.5662371052
Kurtosis-1.043927437
Mean137.5336667
Median Absolute Deviation (MAD)58
Skewness-0.4740899152
Sum825202
Variance6064.774996
MonotonicityNot monotonic
2025-03-21T22:39:32.449717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 603
 
10.1%
255 60
 
1.0%
215 54
 
0.9%
226 53
 
0.9%
221 50
 
0.8%
204 50
 
0.8%
187 50
 
0.8%
210 50
 
0.8%
198 48
 
0.8%
217 46
 
0.8%
Other values (246) 4936
82.3%
ValueCountFrequency (%)
0 603
10.1%
1 37
 
0.6%
2 34
 
0.6%
3 13
 
0.2%
4 18
 
0.3%
ValueCountFrequency (%)
255 60
1.0%
254 8
 
0.1%
253 6
 
0.1%
252 7
 
0.1%
251 7
 
0.1%

350
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.8321667
Minimum0
Maximum255
Zeros708
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:32.518781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q172
median155
Q3205
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)133

Descriptive statistics

Standard deviation79.47125442
Coefficient of variation (CV)0.5850694748
Kurtosis-1.104434164
Mean135.8321667
Median Absolute Deviation (MAD)58
Skewness-0.4733972929
Sum814993
Variance6315.680279
MonotonicityNot monotonic
2025-03-21T22:39:32.585701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 708
 
11.8%
216 57
 
0.9%
181 53
 
0.9%
211 52
 
0.9%
228 50
 
0.8%
206 49
 
0.8%
212 48
 
0.8%
255 48
 
0.8%
217 46
 
0.8%
220 45
 
0.8%
Other values (246) 4844
80.7%
ValueCountFrequency (%)
0 708
11.8%
1 40
 
0.7%
2 25
 
0.4%
3 20
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 48
0.8%
254 3
 
0.1%
253 3
 
0.1%
252 8
 
0.1%
251 6
 
0.1%

351
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.7148333
Minimum0
Maximum255
Zeros373
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:32.650410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1103
median174
Q3212
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation73.40079786
Coefficient of variation (CV)0.4806396095
Kurtosis-0.6078952261
Mean152.7148333
Median Absolute Deviation (MAD)47
Skewness-0.7100159217
Sum916289
Variance5387.677126
MonotonicityNot monotonic
2025-03-21T22:39:32.718060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 373
 
6.2%
255 123
 
2.1%
228 62
 
1.0%
218 58
 
1.0%
206 55
 
0.9%
231 53
 
0.9%
216 53
 
0.9%
189 52
 
0.9%
217 52
 
0.9%
208 51
 
0.9%
Other values (246) 5068
84.5%
ValueCountFrequency (%)
0 373
6.2%
1 34
 
0.6%
2 27
 
0.4%
3 13
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 123
2.1%
254 13
 
0.2%
253 12
 
0.2%
252 9
 
0.1%
251 6
 
0.1%

352
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.45
Minimum0
Maximum255
Zeros357
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:32.784764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1108
median176
Q3212
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)104

Descriptive statistics

Standard deviation71.78679816
Coefficient of variation (CV)0.4647898878
Kurtosis-0.4865179768
Mean154.45
Median Absolute Deviation (MAD)44
Skewness-0.7802135236
Sum926700
Variance5153.344391
MonotonicityNot monotonic
2025-03-21T22:39:32.851181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 357
 
5.9%
255 70
 
1.2%
216 65
 
1.1%
222 64
 
1.1%
210 63
 
1.1%
224 57
 
0.9%
206 56
 
0.9%
221 56
 
0.9%
213 55
 
0.9%
211 54
 
0.9%
Other values (246) 5103
85.0%
ValueCountFrequency (%)
0 357
5.9%
1 14
 
0.2%
2 19
 
0.3%
3 13
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 70
1.2%
254 8
 
0.1%
253 7
 
0.1%
252 4
 
0.1%
251 11
 
0.2%

353
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.237
Minimum0
Maximum255
Zeros313
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:32.916415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median175
Q3212
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation71.70128318
Coefficient of variation (CV)0.4648773199
Kurtosis-0.5372123163
Mean154.237
Median Absolute Deviation (MAD)45
Skewness-0.7456814658
Sum925422
Variance5141.07401
MonotonicityNot monotonic
2025-03-21T22:39:32.983591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 313
 
5.2%
255 83
 
1.4%
219 71
 
1.2%
213 59
 
1.0%
207 59
 
1.0%
223 58
 
1.0%
187 56
 
0.9%
221 56
 
0.9%
211 56
 
0.9%
208 56
 
0.9%
Other values (246) 5133
85.5%
ValueCountFrequency (%)
0 313
5.2%
1 33
 
0.5%
2 21
 
0.4%
3 5
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 83
1.4%
254 16
 
0.3%
253 8
 
0.1%
252 9
 
0.1%
251 7
 
0.1%

354
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.9248333
Minimum0
Maximum255
Zeros380
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:33.049584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q195
median170
Q3212
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation74.86044259
Coefficient of variation (CV)0.499319832
Kurtosis-0.7574190362
Mean149.9248333
Median Absolute Deviation (MAD)50
Skewness-0.6305070922
Sum899549
Variance5604.085864
MonotonicityNot monotonic
2025-03-21T22:39:33.115109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 380
 
6.3%
255 124
 
2.1%
222 59
 
1.0%
215 56
 
0.9%
210 55
 
0.9%
208 54
 
0.9%
213 54
 
0.9%
223 53
 
0.9%
219 52
 
0.9%
202 51
 
0.9%
Other values (246) 5062
84.4%
ValueCountFrequency (%)
0 380
6.3%
1 37
 
0.6%
2 22
 
0.4%
3 10
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 124
2.1%
254 19
 
0.3%
253 19
 
0.3%
252 16
 
0.3%
251 14
 
0.2%

355
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.6691667
Minimum0
Maximum255
Zeros804
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:33.180470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median158
Q3210
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)147

Descriptive statistics

Standard deviation83.73341983
Coefficient of variation (CV)0.6171882815
Kurtosis-1.238494548
Mean135.6691667
Median Absolute Deviation (MAD)62
Skewness-0.4108203729
Sum814015
Variance7011.285597
MonotonicityNot monotonic
2025-03-21T22:39:33.427382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 804
 
13.4%
255 95
 
1.6%
219 59
 
1.0%
226 57
 
0.9%
216 55
 
0.9%
215 52
 
0.9%
218 51
 
0.9%
207 50
 
0.8%
201 50
 
0.8%
211 49
 
0.8%
Other values (246) 4678
78.0%
ValueCountFrequency (%)
0 804
13.4%
1 32
 
0.5%
2 24
 
0.4%
3 9
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 95
1.6%
254 14
 
0.2%
253 8
 
0.1%
252 12
 
0.2%
251 11
 
0.2%

356
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5898333
Minimum0
Maximum255
Zeros1255
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:33.491491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median152
Q3211
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation90.55202855
Coefficient of variation (CV)0.7041927515
Kurtosis-1.454469292
Mean128.5898333
Median Absolute Deviation (MAD)72
Skewness-0.2947065788
Sum771539
Variance8199.669875
MonotonicityNot monotonic
2025-03-21T22:39:33.560737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1255
 
20.9%
255 123
 
2.1%
220 53
 
0.9%
225 53
 
0.9%
217 52
 
0.9%
221 51
 
0.9%
213 50
 
0.8%
219 49
 
0.8%
209 47
 
0.8%
202 46
 
0.8%
Other values (246) 4221
70.3%
ValueCountFrequency (%)
0 1255
20.9%
1 41
 
0.7%
2 28
 
0.5%
3 16
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 123
2.1%
254 24
 
0.4%
253 20
 
0.3%
252 9
 
0.1%
251 14
 
0.2%

357
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.5288333
Minimum0
Maximum255
Zeros1619
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:33.629197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median137
Q3207
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)207

Descriptive statistics

Standard deviation93.67290575
Coefficient of variation (CV)0.7970206382
Kurtosis-1.611145715
Mean117.5288333
Median Absolute Deviation (MAD)86
Skewness-0.1184143859
Sum705173
Variance8774.613271
MonotonicityNot monotonic
2025-03-21T22:39:33.697994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1619
27.0%
255 98
 
1.6%
1 53
 
0.9%
221 52
 
0.9%
224 49
 
0.8%
214 47
 
0.8%
212 44
 
0.7%
216 41
 
0.7%
197 40
 
0.7%
226 40
 
0.7%
Other values (246) 3917
65.3%
ValueCountFrequency (%)
0 1619
27.0%
1 53
 
0.9%
2 36
 
0.6%
3 23
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 98
1.6%
254 16
 
0.3%
253 13
 
0.2%
252 8
 
0.1%
251 10
 
0.2%

358
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.9695
Minimum0
Maximum255
Zeros1884
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:33.766242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median108.5
Q3198
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation93.150581
Coefficient of variation (CV)0.8790319951
Kurtosis-1.624590282
Mean105.9695
Median Absolute Deviation (MAD)105.5
Skewness0.07389024365
Sum635817
Variance8677.030742
MonotonicityNot monotonic
2025-03-21T22:39:33.831802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1884
31.4%
255 88
 
1.5%
1 70
 
1.2%
226 46
 
0.8%
219 40
 
0.7%
210 40
 
0.7%
223 39
 
0.7%
194 38
 
0.6%
2 38
 
0.6%
204 37
 
0.6%
Other values (246) 3680
61.3%
ValueCountFrequency (%)
0 1884
31.4%
1 70
 
1.2%
2 38
 
0.6%
3 31
 
0.5%
4 12
 
0.2%
ValueCountFrequency (%)
255 88
1.5%
254 12
 
0.2%
253 13
 
0.2%
252 15
 
0.2%
251 7
 
0.1%

359
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.45366667
Minimum0
Maximum255
Zeros2365
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:33.897926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median57
Q3183
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation92.03150268
Coefficient of variation (CV)1.040448702
Kurtosis-1.502265871
Mean88.45366667
Median Absolute Deviation (MAD)57
Skewness0.3881500777
Sum530722
Variance8469.797486
MonotonicityNot monotonic
2025-03-21T22:39:33.967279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2365
39.4%
1 68
 
1.1%
255 54
 
0.9%
2 50
 
0.8%
205 35
 
0.6%
206 34
 
0.6%
207 34
 
0.6%
220 33
 
0.5%
3 31
 
0.5%
223 30
 
0.5%
Other values (246) 3266
54.4%
ValueCountFrequency (%)
0 2365
39.4%
1 68
 
1.1%
2 50
 
0.8%
3 31
 
0.5%
4 18
 
0.3%
ValueCountFrequency (%)
255 54
0.9%
254 15
 
0.2%
253 8
 
0.1%
252 12
 
0.2%
251 9
 
0.1%

360
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.12
Minimum0
Maximum255
Zeros3184
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:34.033234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3155.25
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)155.25

Descriptive statistics

Standard deviation87.49977506
Coefficient of variation (CV)1.303631929
Kurtosis-1.064020713
Mean67.12
Median Absolute Deviation (MAD)0
Skewness0.7924856156
Sum402720
Variance7656.210635
MonotonicityNot monotonic
2025-03-21T22:39:34.103876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3184
53.1%
1 61
 
1.0%
206 38
 
0.6%
204 35
 
0.6%
210 31
 
0.5%
255 29
 
0.5%
205 28
 
0.5%
211 28
 
0.5%
220 27
 
0.4%
208 27
 
0.4%
Other values (246) 2512
41.9%
ValueCountFrequency (%)
0 3184
53.1%
1 61
 
1.0%
2 22
 
0.4%
3 25
 
0.4%
4 21
 
0.4%
ValueCountFrequency (%)
255 29
0.5%
254 2
 
< 0.1%
253 6
 
0.1%
252 3
 
0.1%
251 6
 
0.1%

361
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.75866667
Minimum0
Maximum255
Zeros3806
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:34.172030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3125
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation85.45531499
Coefficient of variation (CV)1.532592512
Kurtosis-0.4992197237
Mean55.75866667
Median Absolute Deviation (MAD)0
Skewness1.096462148
Sum334552
Variance7302.61086
MonotonicityNot monotonic
2025-03-21T22:39:34.238528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3806
63.4%
1 49
 
0.8%
255 36
 
0.6%
218 27
 
0.4%
227 23
 
0.4%
203 22
 
0.4%
2 21
 
0.4%
223 21
 
0.4%
201 21
 
0.4%
199 20
 
0.3%
Other values (246) 1954
32.6%
ValueCountFrequency (%)
0 3806
63.4%
1 49
 
0.8%
2 21
 
0.4%
3 14
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 36
0.6%
254 4
 
0.1%
253 6
 
0.1%
252 2
 
< 0.1%
251 6
 
0.1%

362
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85316667
Minimum0
Maximum255
Zeros4250
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:34.302929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)31

Descriptive statistics

Standard deviation74.17026006
Coefficient of variation (CV)1.908988801
Kurtosis1.459656648
Mean38.85316667
Median Absolute Deviation (MAD)0
Skewness1.718181458
Sum233119
Variance5501.227478
MonotonicityNot monotonic
2025-03-21T22:39:34.384298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4250
70.8%
255 74
 
1.2%
1 54
 
0.9%
2 22
 
0.4%
86 15
 
0.2%
4 14
 
0.2%
90 14
 
0.2%
226 13
 
0.2%
200 13
 
0.2%
157 13
 
0.2%
Other values (244) 1518
 
25.3%
ValueCountFrequency (%)
0 4250
70.8%
1 54
 
0.9%
2 22
 
0.4%
3 12
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 74
1.2%
254 9
 
0.1%
253 6
 
0.1%
252 6
 
0.1%
251 7
 
0.1%

363
Real number (ℝ)

Zeros 

Distinct176
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.837
Minimum0
Maximum227
Zeros5168
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:34.452166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile68
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.45401797
Coefficient of variation (CV)3.375528643
Kurtosis17.67435628
Mean7.837
Median Absolute Deviation (MAD)0
Skewness4.058143139
Sum47022
Variance699.8150668
MonotonicityNot monotonic
2025-03-21T22:39:34.519787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5168
86.1%
1 58
 
1.0%
2 41
 
0.7%
17 13
 
0.2%
19 12
 
0.2%
4 11
 
0.2%
5 11
 
0.2%
34 11
 
0.2%
28 11
 
0.2%
15 11
 
0.2%
Other values (166) 653
 
10.9%
ValueCountFrequency (%)
0 5168
86.1%
1 58
 
1.0%
2 41
 
0.7%
3 11
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
227 1
< 0.1%
206 1
< 0.1%
205 1
< 0.1%
203 1
< 0.1%
197 1
< 0.1%

364
Real number (ℝ)

Zeros 

Distinct123
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7525
Minimum0
Maximum225
Zeros5517
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:34.582017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum225
Range225
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.11188147
Coefficient of variation (CV)6.580156756
Kurtosis69.45502594
Mean2.7525
Median Absolute Deviation (MAD)0
Skewness8.016756872
Sum16515
Variance328.0402505
MonotonicityNot monotonic
2025-03-21T22:39:34.647238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5517
92.0%
1 168
 
2.8%
2 67
 
1.1%
3 31
 
0.5%
4 14
 
0.2%
5 9
 
0.1%
7 7
 
0.1%
6 6
 
0.1%
12 6
 
0.1%
62 5
 
0.1%
Other values (113) 170
 
2.8%
ValueCountFrequency (%)
0 5517
92.0%
1 168
 
2.8%
2 67
 
1.1%
3 31
 
0.5%
4 14
 
0.2%
ValueCountFrequency (%)
225 1
< 0.1%
222 1
< 0.1%
214 2
< 0.1%
211 1
< 0.1%
204 1
< 0.1%

365
Real number (ℝ)

Zeros 

Distinct189
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.547166667
Minimum0
Maximum255
Zeros5335
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:34.871378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile31.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.26681727
Coefficient of variation (CV)4.672855235
Kurtosis26.98338366
Mean7.547166667
Median Absolute Deviation (MAD)0
Skewness5.191982199
Sum45283
Variance1243.7484
MonotonicityNot monotonic
2025-03-21T22:39:34.939296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5335
88.9%
1 154
 
2.6%
2 72
 
1.2%
3 30
 
0.5%
4 22
 
0.4%
5 20
 
0.3%
255 12
 
0.2%
8 7
 
0.1%
7 7
 
0.1%
9 7
 
0.1%
Other values (179) 334
 
5.6%
ValueCountFrequency (%)
0 5335
88.9%
1 154
 
2.6%
2 72
 
1.2%
3 30
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
255 12
0.2%
253 1
 
< 0.1%
252 1
 
< 0.1%
250 1
 
< 0.1%
249 1
 
< 0.1%

366
Real number (ℝ)

Zeros 

Distinct220
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.60166667
Minimum0
Maximum255
Zeros5157
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.004182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.06998646
Coefficient of variation (CV)3.873917918
Kurtosis17.35333597
Mean10.60166667
Median Absolute Deviation (MAD)0
Skewness4.231397081
Sum63610
Variance1686.743788
MonotonicityNot monotonic
2025-03-21T22:39:35.067997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5157
86.0%
1 123
 
2.1%
2 82
 
1.4%
3 66
 
1.1%
4 33
 
0.5%
5 22
 
0.4%
255 13
 
0.2%
6 11
 
0.2%
7 9
 
0.1%
25 8
 
0.1%
Other values (210) 476
 
7.9%
ValueCountFrequency (%)
0 5157
86.0%
1 123
 
2.1%
2 82
 
1.4%
3 66
 
1.1%
4 33
 
0.5%
ValueCountFrequency (%)
255 13
0.2%
254 2
 
< 0.1%
250 1
 
< 0.1%
249 3
 
0.1%
248 1
 
< 0.1%

367
Real number (ℝ)

Zeros 

Distinct246
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.76816667
Minimum0
Maximum255
Zeros4642
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.135984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile177
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54.03718864
Coefficient of variation (CV)2.733545784
Kurtosis7.255625227
Mean19.76816667
Median Absolute Deviation (MAD)0
Skewness2.88557925
Sum118609
Variance2920.017756
MonotonicityNot monotonic
2025-03-21T22:39:35.203446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4642
77.4%
1 167
 
2.8%
2 87
 
1.5%
3 49
 
0.8%
4 36
 
0.6%
5 29
 
0.5%
255 19
 
0.3%
6 17
 
0.3%
8 12
 
0.2%
37 12
 
0.2%
Other values (236) 930
 
15.5%
ValueCountFrequency (%)
0 4642
77.4%
1 167
 
2.8%
2 87
 
1.5%
3 49
 
0.8%
4 36
 
0.6%
ValueCountFrequency (%)
255 19
0.3%
254 3
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 6
 
0.1%

368
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.712
Minimum0
Maximum255
Zeros3717
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.271667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q343
95-th percentile216
Maximum255
Range255
Interquartile range (IQR)43

Descriptive statistics

Standard deviation72.84256582
Coefficient of variation (CV)1.834270896
Kurtosis1.398714095
Mean39.712
Median Absolute Deviation (MAD)0
Skewness1.692685501
Sum238272
Variance5306.039396
MonotonicityNot monotonic
2025-03-21T22:39:35.338011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3717
62.0%
1 178
 
3.0%
2 86
 
1.4%
3 78
 
1.3%
4 39
 
0.7%
255 36
 
0.6%
5 28
 
0.5%
7 25
 
0.4%
14 18
 
0.3%
216 18
 
0.3%
Other values (246) 1777
29.6%
ValueCountFrequency (%)
0 3717
62.0%
1 178
 
3.0%
2 86
 
1.4%
3 78
 
1.3%
4 39
 
0.7%
ValueCountFrequency (%)
255 36
0.6%
254 14
 
0.2%
253 2
 
< 0.1%
252 4
 
0.1%
251 1
 
< 0.1%

369
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.15733333
Minimum0
Maximum255
Zeros3040
Zeros (%)50.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.403136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3141
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation87.88216424
Coefficient of variation (CV)1.369791412
Kurtosis-0.7716378194
Mean64.15733333
Median Absolute Deviation (MAD)0
Skewness0.9346527855
Sum384944
Variance7723.274792
MonotonicityNot monotonic
2025-03-21T22:39:35.475058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3040
50.7%
1 161
 
2.7%
2 97
 
1.6%
255 86
 
1.4%
3 54
 
0.9%
4 54
 
0.9%
5 33
 
0.5%
220 25
 
0.4%
219 24
 
0.4%
229 22
 
0.4%
Other values (246) 2404
40.1%
ValueCountFrequency (%)
0 3040
50.7%
1 161
 
2.7%
2 97
 
1.6%
3 54
 
0.9%
4 54
 
0.9%
ValueCountFrequency (%)
255 86
1.4%
254 13
 
0.2%
253 13
 
0.2%
252 8
 
0.1%
251 6
 
0.1%

370
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.33716667
Minimum0
Maximum255
Zeros2687
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.551909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q3172
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation91.99951886
Coefficient of variation (CV)1.189589984
Kurtosis-1.285972709
Mean77.33716667
Median Absolute Deviation (MAD)5
Skewness0.6282045861
Sum464023
Variance8463.911471
MonotonicityNot monotonic
2025-03-21T22:39:35.625382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2687
44.8%
1 135
 
2.2%
255 71
 
1.2%
2 64
 
1.1%
3 61
 
1.0%
218 36
 
0.6%
5 30
 
0.5%
219 28
 
0.5%
194 28
 
0.5%
216 27
 
0.4%
Other values (246) 2833
47.2%
ValueCountFrequency (%)
0 2687
44.8%
1 135
 
2.2%
2 64
 
1.1%
3 61
 
1.0%
4 26
 
0.4%
ValueCountFrequency (%)
255 71
1.2%
254 13
 
0.2%
253 6
 
0.1%
252 12
 
0.2%
251 8
 
0.1%

371
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.105
Minimum0
Maximum255
Zeros2275
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.691808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59
Q3188
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation94.17624348
Coefficient of variation (CV)1.045183325
Kurtosis-1.494424802
Mean90.105
Median Absolute Deviation (MAD)59
Skewness0.4001321177
Sum540630
Variance8869.164836
MonotonicityNot monotonic
2025-03-21T22:39:35.759027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2275
37.9%
1 112
 
1.9%
255 106
 
1.8%
2 64
 
1.1%
3 49
 
0.8%
236 32
 
0.5%
228 32
 
0.5%
206 32
 
0.5%
201 32
 
0.5%
202 30
 
0.5%
Other values (246) 3236
53.9%
ValueCountFrequency (%)
0 2275
37.9%
1 112
 
1.9%
2 64
 
1.1%
3 49
 
0.8%
4 21
 
0.4%
ValueCountFrequency (%)
255 106
1.8%
254 23
 
0.4%
253 5
 
0.1%
252 15
 
0.2%
251 6
 
0.1%

372
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.5901667
Minimum0
Maximum255
Zeros1720
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.825097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median102
Q3191
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation91.13641155
Coefficient of variation (CV)0.8797785976
Kurtosis-1.544638648
Mean103.5901667
Median Absolute Deviation (MAD)101
Skewness0.135994248
Sum621541
Variance8305.845511
MonotonicityNot monotonic
2025-03-21T22:39:35.894595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1720
28.7%
1 110
 
1.8%
255 92
 
1.5%
3 50
 
0.8%
2 39
 
0.7%
214 35
 
0.6%
229 34
 
0.6%
226 34
 
0.6%
206 33
 
0.5%
228 31
 
0.5%
Other values (246) 3822
63.7%
ValueCountFrequency (%)
0 1720
28.7%
1 110
 
1.8%
2 39
 
0.7%
3 50
 
0.8%
4 27
 
0.4%
ValueCountFrequency (%)
255 92
1.5%
254 10
 
0.2%
253 10
 
0.2%
252 11
 
0.2%
251 15
 
0.2%

373
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.9985
Minimum0
Maximum255
Zeros1057
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:35.955727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119
median133
Q3198
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation87.05329332
Coefficient of variation (CV)0.7315495012
Kurtosis-1.450830083
Mean118.9985
Median Absolute Deviation (MAD)77
Skewness-0.143780799
Sum713991
Variance7578.275877
MonotonicityNot monotonic
2025-03-21T22:39:36.021488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1057
 
17.6%
1 117
 
1.9%
255 109
 
1.8%
2 71
 
1.2%
3 44
 
0.7%
213 43
 
0.7%
218 40
 
0.7%
198 38
 
0.6%
206 38
 
0.6%
219 38
 
0.6%
Other values (246) 4405
73.4%
ValueCountFrequency (%)
0 1057
17.6%
1 117
 
1.9%
2 71
 
1.2%
3 44
 
0.7%
4 30
 
0.5%
ValueCountFrequency (%)
255 109
1.8%
254 12
 
0.2%
253 9
 
0.1%
252 10
 
0.2%
251 11
 
0.2%

374
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.5733333
Minimum0
Maximum255
Zeros800
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:36.085769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median153
Q3205
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)142

Descriptive statistics

Standard deviation82.69030316
Coefficient of variation (CV)0.6190629604
Kurtosis-1.198156125
Mean133.5733333
Median Absolute Deviation (MAD)62
Skewness-0.4074125351
Sum801440
Variance6837.686237
MonotonicityNot monotonic
2025-03-21T22:39:36.289219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 800
 
13.3%
255 99
 
1.7%
1 65
 
1.1%
206 50
 
0.8%
202 47
 
0.8%
217 47
 
0.8%
2 47
 
0.8%
212 45
 
0.8%
210 45
 
0.8%
229 44
 
0.7%
Other values (246) 4711
78.5%
ValueCountFrequency (%)
0 800
13.3%
1 65
 
1.1%
2 47
 
0.8%
3 22
 
0.4%
4 24
 
0.4%
ValueCountFrequency (%)
255 99
1.7%
254 13
 
0.2%
253 20
 
0.3%
252 9
 
0.1%
251 8
 
0.1%

375
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.4293333
Minimum0
Maximum255
Zeros632
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:36.350130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176
median158
Q3207
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)131

Descriptive statistics

Standard deviation78.71363486
Coefficient of variation (CV)0.5686196196
Kurtosis-1.034429399
Mean138.4293333
Median Absolute Deviation (MAD)57
Skewness-0.5108491984
Sum830576
Variance6195.836312
MonotonicityNot monotonic
2025-03-21T22:39:36.413831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 632
 
10.5%
214 60
 
1.0%
217 56
 
0.9%
219 53
 
0.9%
230 52
 
0.9%
218 52
 
0.9%
224 51
 
0.9%
211 51
 
0.9%
255 49
 
0.8%
205 48
 
0.8%
Other values (246) 4896
81.6%
ValueCountFrequency (%)
0 632
10.5%
1 41
 
0.7%
2 34
 
0.6%
3 21
 
0.4%
4 13
 
0.2%
ValueCountFrequency (%)
255 49
0.8%
254 5
 
0.1%
253 6
 
0.1%
252 7
 
0.1%
251 6
 
0.1%

376
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.2491667
Minimum0
Maximum255
Zeros518
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:36.476022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189
median164
Q3209
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)120

Descriptive statistics

Standard deviation76.71322291
Coefficient of variation (CV)0.5281491431
Kurtosis-0.8625777995
Mean145.2491667
Median Absolute Deviation (MAD)53
Skewness-0.5837594616
Sum871495
Variance5884.918569
MonotonicityNot monotonic
2025-03-21T22:39:36.539424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 518
 
8.6%
255 95
 
1.6%
215 52
 
0.9%
227 51
 
0.9%
217 51
 
0.9%
214 51
 
0.9%
213 49
 
0.8%
208 48
 
0.8%
216 48
 
0.8%
196 47
 
0.8%
Other values (246) 4990
83.2%
ValueCountFrequency (%)
0 518
8.6%
1 36
 
0.6%
2 24
 
0.4%
3 10
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 95
1.6%
254 10
 
0.2%
253 14
 
0.2%
252 8
 
0.1%
251 12
 
0.2%

377
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.7361667
Minimum0
Maximum255
Zeros562
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:36.601634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q183
median161
Q3207
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)124

Descriptive statistics

Standard deviation77.01403607
Coefficient of variation (CV)0.543361923
Kurtosis-0.9355959127
Mean141.7361667
Median Absolute Deviation (MAD)54.5
Skewness-0.5544073479
Sum850417
Variance5931.161752
MonotonicityNot monotonic
2025-03-21T22:39:36.668524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 562
 
9.4%
216 66
 
1.1%
255 64
 
1.1%
215 54
 
0.9%
227 50
 
0.8%
210 48
 
0.8%
225 48
 
0.8%
223 48
 
0.8%
228 47
 
0.8%
207 47
 
0.8%
Other values (246) 4966
82.8%
ValueCountFrequency (%)
0 562
9.4%
1 34
 
0.6%
2 22
 
0.4%
3 15
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 64
1.1%
254 11
 
0.2%
253 2
 
< 0.1%
252 4
 
0.1%
251 7
 
0.1%

378
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.5935
Minimum0
Maximum255
Zeros725
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:36.730501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median161
Q3206
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation78.92207363
Coefficient of variation (CV)0.5694500365
Kurtosis-1.02423445
Mean138.5935
Median Absolute Deviation (MAD)54
Skewness-0.5440249551
Sum831561
Variance6228.693707
MonotonicityNot monotonic
2025-03-21T22:39:36.792686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 725
 
12.1%
215 58
 
1.0%
190 57
 
0.9%
211 55
 
0.9%
208 55
 
0.9%
209 53
 
0.9%
214 51
 
0.9%
212 50
 
0.8%
207 50
 
0.8%
213 48
 
0.8%
Other values (246) 4798
80.0%
ValueCountFrequency (%)
0 725
12.1%
1 42
 
0.7%
2 22
 
0.4%
3 13
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 44
0.7%
254 6
 
0.1%
253 4
 
0.1%
252 2
 
< 0.1%
251 3
 
0.1%

379
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.1606667
Minimum0
Maximum255
Zeros361
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:36.852786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median176
Q3213
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation72.96218952
Coefficient of variation (CV)0.4732866762
Kurtosis-0.5340049272
Mean154.1606667
Median Absolute Deviation (MAD)45
Skewness-0.7490232145
Sum924964
Variance5323.4811
MonotonicityNot monotonic
2025-03-21T22:39:36.916718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 361
 
6.0%
255 116
 
1.9%
218 60
 
1.0%
213 59
 
1.0%
210 57
 
0.9%
230 57
 
0.9%
215 56
 
0.9%
204 56
 
0.9%
225 56
 
0.9%
217 55
 
0.9%
Other values (246) 5067
84.5%
ValueCountFrequency (%)
0 361
6.0%
1 30
 
0.5%
2 17
 
0.3%
3 15
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 116
1.9%
254 18
 
0.3%
253 16
 
0.3%
252 8
 
0.1%
251 5
 
0.1%

380
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.791
Minimum0
Maximum255
Zeros338
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:36.977250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1109
median178
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)104

Descriptive statistics

Standard deviation71.36363066
Coefficient of variation (CV)0.4580728711
Kurtosis-0.4626935977
Mean155.791
Median Absolute Deviation (MAD)43
Skewness-0.7926312158
Sum934746
Variance5092.76778
MonotonicityNot monotonic
2025-03-21T22:39:37.039113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 338
 
5.6%
197 67
 
1.1%
214 65
 
1.1%
221 65
 
1.1%
255 63
 
1.1%
220 57
 
0.9%
217 57
 
0.9%
206 57
 
0.9%
208 56
 
0.9%
228 56
 
0.9%
Other values (246) 5119
85.3%
ValueCountFrequency (%)
0 338
5.6%
1 19
 
0.3%
2 12
 
0.2%
3 8
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 63
1.1%
254 4
 
0.1%
253 12
 
0.2%
252 6
 
0.1%
251 13
 
0.2%

381
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.7656667
Minimum0
Maximum255
Zeros320
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:37.101427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median178
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation71.19258261
Coefficient of variation (CV)0.4570492595
Kurtosis-0.4923273938
Mean155.7656667
Median Absolute Deviation (MAD)43
Skewness-0.7725829578
Sum934594
Variance5068.383819
MonotonicityNot monotonic
2025-03-21T22:39:37.165064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 320
 
5.3%
255 85
 
1.4%
225 68
 
1.1%
215 67
 
1.1%
212 66
 
1.1%
222 63
 
1.1%
218 63
 
1.1%
217 62
 
1.0%
228 61
 
1.0%
216 61
 
1.0%
Other values (246) 5084
84.7%
ValueCountFrequency (%)
0 320
5.3%
1 15
 
0.2%
2 13
 
0.2%
3 9
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 85
1.4%
254 16
 
0.3%
253 8
 
0.1%
252 8
 
0.1%
251 3
 
0.1%

382
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.8911667
Minimum0
Maximum255
Zeros376
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:37.228017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100
median172
Q3213
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)113

Descriptive statistics

Standard deviation74.1295163
Coefficient of variation (CV)0.4880436297
Kurtosis-0.6886020102
Mean151.8911667
Median Absolute Deviation (MAD)49
Skewness-0.6698079469
Sum911347
Variance5495.185186
MonotonicityNot monotonic
2025-03-21T22:39:37.287958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 376
 
6.3%
255 123
 
2.1%
217 57
 
0.9%
223 57
 
0.9%
202 57
 
0.9%
216 54
 
0.9%
214 54
 
0.9%
218 53
 
0.9%
212 52
 
0.9%
200 52
 
0.9%
Other values (246) 5065
84.4%
ValueCountFrequency (%)
0 376
6.3%
1 21
 
0.4%
2 18
 
0.3%
3 7
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 123
2.1%
254 20
 
0.3%
253 18
 
0.3%
252 14
 
0.2%
251 12
 
0.2%

383
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.7066667
Minimum0
Maximum255
Zeros788
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:37.351251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median160
Q3210
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)146

Descriptive statistics

Standard deviation83.25187947
Coefficient of variation (CV)0.6089818551
Kurtosis-1.210803203
Mean136.7066667
Median Absolute Deviation (MAD)61
Skewness-0.4364668296
Sum820240
Variance6930.875435
MonotonicityNot monotonic
2025-03-21T22:39:37.412644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 788
 
13.1%
255 86
 
1.4%
222 55
 
0.9%
216 53
 
0.9%
221 51
 
0.9%
215 50
 
0.8%
210 49
 
0.8%
223 48
 
0.8%
224 47
 
0.8%
220 46
 
0.8%
Other values (246) 4727
78.8%
ValueCountFrequency (%)
0 788
13.1%
1 24
 
0.4%
2 24
 
0.4%
3 14
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 86
1.4%
254 15
 
0.2%
253 13
 
0.2%
252 9
 
0.1%
251 17
 
0.3%

384
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.2926667
Minimum0
Maximum255
Zeros1256
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:37.472167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126
median154
Q3210
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation90.31493865
Coefficient of variation (CV)0.6985310226
Kurtosis-1.440589837
Mean129.2926667
Median Absolute Deviation (MAD)69
Skewness-0.3110126624
Sum775756
Variance8156.788144
MonotonicityNot monotonic
2025-03-21T22:39:37.537503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1256
 
20.9%
255 116
 
1.9%
216 51
 
0.9%
204 50
 
0.8%
209 48
 
0.8%
218 48
 
0.8%
219 46
 
0.8%
233 45
 
0.8%
223 45
 
0.8%
207 45
 
0.8%
Other values (246) 4250
70.8%
ValueCountFrequency (%)
0 1256
20.9%
1 35
 
0.6%
2 29
 
0.5%
3 14
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 116
1.9%
254 14
 
0.2%
253 21
 
0.4%
252 18
 
0.3%
251 16
 
0.3%

385
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.0006667
Minimum0
Maximum255
Zeros1603
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:37.772291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median144
Q3208
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation94.03516595
Coefficient of variation (CV)0.7836220294
Kurtosis-1.605359282
Mean120.0006667
Median Absolute Deviation (MAD)81
Skewness-0.1687833762
Sum720004
Variance8842.612435
MonotonicityNot monotonic
2025-03-21T22:39:37.836105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1603
26.7%
255 102
 
1.7%
213 57
 
0.9%
1 54
 
0.9%
206 51
 
0.9%
223 48
 
0.8%
214 48
 
0.8%
222 47
 
0.8%
227 46
 
0.8%
2 46
 
0.8%
Other values (246) 3898
65.0%
ValueCountFrequency (%)
0 1603
26.7%
1 54
 
0.9%
2 46
 
0.8%
3 28
 
0.5%
4 17
 
0.3%
ValueCountFrequency (%)
255 102
1.7%
254 18
 
0.3%
253 16
 
0.3%
252 13
 
0.2%
251 8
 
0.1%

386
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.4931667
Minimum0
Maximum255
Zeros1879
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:37.897535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3201
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation94.45535412
Coefficient of variation (CV)0.8626598079
Kurtosis-1.651712796
Mean109.4931667
Median Absolute Deviation (MAD)99
Skewness0.004534841213
Sum656959
Variance8921.813922
MonotonicityNot monotonic
2025-03-21T22:39:37.960659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1879
31.3%
255 104
 
1.7%
1 64
 
1.1%
2 50
 
0.8%
218 47
 
0.8%
215 43
 
0.7%
216 42
 
0.7%
211 41
 
0.7%
213 40
 
0.7%
217 40
 
0.7%
Other values (246) 3650
60.8%
ValueCountFrequency (%)
0 1879
31.3%
1 64
 
1.1%
2 50
 
0.8%
3 38
 
0.6%
4 21
 
0.4%
ValueCountFrequency (%)
255 104
1.7%
254 17
 
0.3%
253 15
 
0.2%
252 15
 
0.2%
251 8
 
0.1%

387
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.01916667
Minimum0
Maximum255
Zeros2232
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.021538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68
Q3186
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation92.93129453
Coefficient of variation (CV)1.009912368
Kurtosis-1.548308199
Mean92.01916667
Median Absolute Deviation (MAD)68
Skewness0.3260909621
Sum552115
Variance8636.225504
MonotonicityNot monotonic
2025-03-21T22:39:38.085566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2232
37.2%
1 81
 
1.4%
2 74
 
1.2%
255 73
 
1.2%
3 49
 
0.8%
207 37
 
0.6%
222 35
 
0.6%
197 33
 
0.5%
215 33
 
0.5%
212 33
 
0.5%
Other values (246) 3320
55.3%
ValueCountFrequency (%)
0 2232
37.2%
1 81
 
1.4%
2 74
 
1.2%
3 49
 
0.8%
4 24
 
0.4%
ValueCountFrequency (%)
255 73
1.2%
254 8
 
0.1%
253 17
 
0.3%
252 11
 
0.2%
251 5
 
0.1%

388
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.87066667
Minimum0
Maximum255
Zeros3065
Zeros (%)51.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.146295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3158
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)158

Descriptive statistics

Standard deviation88.06753992
Coefficient of variation (CV)1.27873802
Kurtosis-1.121417908
Mean68.87066667
Median Absolute Deviation (MAD)0
Skewness0.757851446
Sum413224
Variance7755.891588
MonotonicityNot monotonic
2025-03-21T22:39:38.209915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3065
51.1%
1 76
 
1.3%
2 46
 
0.8%
209 35
 
0.6%
200 32
 
0.5%
208 32
 
0.5%
211 29
 
0.5%
203 28
 
0.5%
201 26
 
0.4%
3 26
 
0.4%
Other values (246) 2605
43.4%
ValueCountFrequency (%)
0 3065
51.1%
1 76
 
1.3%
2 46
 
0.8%
3 26
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
255 19
0.3%
254 4
 
0.1%
253 3
 
0.1%
252 2
 
< 0.1%
251 5
 
0.1%

389
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.98233333
Minimum0
Maximum255
Zeros3767
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.271741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3132
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation86.34317119
Coefficient of variation (CV)1.51526212
Kurtosis-0.6082921736
Mean56.98233333
Median Absolute Deviation (MAD)0
Skewness1.05773924
Sum341894
Variance7455.143212
MonotonicityNot monotonic
2025-03-21T22:39:38.331634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3767
62.8%
1 45
 
0.8%
205 33
 
0.5%
255 32
 
0.5%
2 31
 
0.5%
209 27
 
0.4%
3 27
 
0.4%
217 24
 
0.4%
211 24
 
0.4%
220 23
 
0.4%
Other values (244) 1967
32.8%
ValueCountFrequency (%)
0 3767
62.8%
1 45
 
0.8%
2 31
 
0.5%
3 27
 
0.4%
4 13
 
0.2%
ValueCountFrequency (%)
255 32
0.5%
254 3
 
0.1%
253 3
 
0.1%
252 5
 
0.1%
251 8
 
0.1%

390
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.3495
Minimum0
Maximum255
Zeros4162
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.391574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q347.25
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)47.25

Descriptive statistics

Standard deviation78.92912634
Coefficient of variation (CV)1.820762093
Kurtosis0.8407214168
Mean43.3495
Median Absolute Deviation (MAD)0
Skewness1.558327115
Sum260097
Variance6229.806984
MonotonicityNot monotonic
2025-03-21T22:39:38.452148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4162
69.4%
255 94
 
1.6%
1 43
 
0.7%
2 23
 
0.4%
233 19
 
0.3%
4 17
 
0.3%
3 15
 
0.2%
223 15
 
0.2%
206 15
 
0.2%
229 14
 
0.2%
Other values (246) 1583
 
26.4%
ValueCountFrequency (%)
0 4162
69.4%
1 43
 
0.7%
2 23
 
0.4%
3 15
 
0.2%
4 17
 
0.3%
ValueCountFrequency (%)
255 94
1.6%
254 7
 
0.1%
253 9
 
0.1%
252 10
 
0.2%
251 6
 
0.1%

391
Real number (ℝ)

Zeros 

Distinct187
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.726
Minimum0
Maximum254
Zeros5046
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.511742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.05
Maximum254
Range254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.1526857
Coefficient of variation (CV)3.100214446
Kurtosis14.1330003
Mean9.726
Median Absolute Deviation (MAD)0
Skewness3.679036228
Sum58356
Variance909.1844547
MonotonicityNot monotonic
2025-03-21T22:39:38.575423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5046
84.1%
1 41
 
0.7%
2 31
 
0.5%
3 20
 
0.3%
8 18
 
0.3%
5 17
 
0.3%
41 15
 
0.2%
19 14
 
0.2%
21 14
 
0.2%
25 13
 
0.2%
Other values (177) 771
 
12.8%
ValueCountFrequency (%)
0 5046
84.1%
1 41
 
0.7%
2 31
 
0.5%
3 20
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
254 1
< 0.1%
222 1
< 0.1%
216 1
< 0.1%
215 1
< 0.1%
211 1
< 0.1%

392
Real number (ℝ)

Zeros 

Distinct144
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4705
Minimum0
Maximum242
Zeros5446
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.639021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum242
Range242
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.67884666
Coefficient of variation (CV)5.670320317
Kurtosis53.31402276
Mean3.4705
Median Absolute Deviation (MAD)0
Skewness6.995845096
Sum20823
Variance387.2570059
MonotonicityNot monotonic
2025-03-21T22:39:38.703644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5446
90.8%
1 170
 
2.8%
2 60
 
1.0%
3 28
 
0.5%
4 11
 
0.2%
5 9
 
0.1%
8 7
 
0.1%
6 7
 
0.1%
12 6
 
0.1%
7 6
 
0.1%
Other values (134) 250
 
4.2%
ValueCountFrequency (%)
0 5446
90.8%
1 170
 
2.8%
2 60
 
1.0%
3 28
 
0.5%
4 11
 
0.2%
ValueCountFrequency (%)
242 1
< 0.1%
214 1
< 0.1%
210 1
< 0.1%
206 1
< 0.1%
204 2
< 0.1%

393
Real number (ℝ)

Zeros 

Distinct224
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.03616667
Minimum0
Maximum255
Zeros5163
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.765749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile97.1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.56195887
Coefficient of variation (CV)3.765977818
Kurtosis17.10903313
Mean11.03616667
Median Absolute Deviation (MAD)0
Skewness4.182227899
Sum66217
Variance1727.396425
MonotonicityNot monotonic
2025-03-21T22:39:38.827046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5163
86.1%
1 116
 
1.9%
2 67
 
1.1%
3 39
 
0.7%
4 27
 
0.4%
255 18
 
0.3%
5 16
 
0.3%
7 15
 
0.2%
6 9
 
0.1%
18 7
 
0.1%
Other values (214) 523
 
8.7%
ValueCountFrequency (%)
0 5163
86.1%
1 116
 
1.9%
2 67
 
1.1%
3 39
 
0.7%
4 27
 
0.4%
ValueCountFrequency (%)
255 18
0.3%
254 4
 
0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%
250 2
 
< 0.1%

394
Real number (ℝ)

Zeros 

Distinct242
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.19766667
Minimum0
Maximum255
Zeros4935
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:38.887626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile145
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.62400237
Coefficient of variation (CV)3.133639092
Kurtosis10.75438166
Mean15.19766667
Median Absolute Deviation (MAD)0
Skewness3.395825675
Sum91186
Variance2268.045602
MonotonicityNot monotonic
2025-03-21T22:39:39.104651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4935
82.2%
1 117
 
1.9%
2 74
 
1.2%
3 51
 
0.9%
4 32
 
0.5%
5 25
 
0.4%
255 16
 
0.3%
7 10
 
0.2%
52 9
 
0.1%
17 9
 
0.1%
Other values (232) 722
 
12.0%
ValueCountFrequency (%)
0 4935
82.2%
1 117
 
1.9%
2 74
 
1.2%
3 51
 
0.9%
4 32
 
0.5%
ValueCountFrequency (%)
255 16
0.3%
254 1
 
< 0.1%
253 3
 
0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

395
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.63316667
Minimum0
Maximum255
Zeros4423
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:39.166243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile189
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation59.73422215
Coefficient of variation (CV)2.330348916
Kurtosis4.563392243
Mean25.63316667
Median Absolute Deviation (MAD)0
Skewness2.394526425
Sum153799
Variance3568.177296
MonotonicityNot monotonic
2025-03-21T22:39:39.227912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4423
73.7%
1 123
 
2.1%
2 67
 
1.1%
3 41
 
0.7%
4 32
 
0.5%
255 28
 
0.5%
5 20
 
0.3%
25 14
 
0.2%
26 12
 
0.2%
50 12
 
0.2%
Other values (244) 1228
 
20.5%
ValueCountFrequency (%)
0 4423
73.7%
1 123
 
2.1%
2 67
 
1.1%
3 41
 
0.7%
4 32
 
0.5%
ValueCountFrequency (%)
255 28
0.5%
254 4
 
0.1%
253 2
 
< 0.1%
251 2
 
< 0.1%
250 1
 
< 0.1%

396
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.93316667
Minimum0
Maximum255
Zeros3406
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:39.287749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q382
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)82

Descriptive statistics

Standard deviation76.83982969
Coefficient of variation (CV)1.603061826
Kurtosis0.4405171681
Mean47.93316667
Median Absolute Deviation (MAD)0
Skewness1.382073333
Sum287599
Variance5904.359427
MonotonicityNot monotonic
2025-03-21T22:39:39.351373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3406
56.8%
1 170
 
2.8%
2 80
 
1.3%
3 54
 
0.9%
255 47
 
0.8%
4 43
 
0.7%
5 31
 
0.5%
206 22
 
0.4%
50 20
 
0.3%
222 19
 
0.3%
Other values (246) 2108
35.1%
ValueCountFrequency (%)
0 3406
56.8%
1 170
 
2.8%
2 80
 
1.3%
3 54
 
0.9%
4 43
 
0.7%
ValueCountFrequency (%)
255 47
0.8%
254 6
 
0.1%
253 3
 
0.1%
252 8
 
0.1%
251 3
 
0.1%

397
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.534
Minimum0
Maximum255
Zeros2684
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:39.413223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3159
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)159

Descriptive statistics

Standard deviation89.87085719
Coefficient of variation (CV)1.239016974
Kurtosis-1.09229272
Mean72.534
Median Absolute Deviation (MAD)3
Skewness0.7368017218
Sum435204
Variance8076.770972
MonotonicityNot monotonic
2025-03-21T22:39:39.476099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2684
44.7%
1 194
 
3.2%
2 89
 
1.5%
255 89
 
1.5%
3 86
 
1.4%
4 46
 
0.8%
211 27
 
0.4%
196 25
 
0.4%
195 24
 
0.4%
201 23
 
0.4%
Other values (246) 2713
45.2%
ValueCountFrequency (%)
0 2684
44.7%
1 194
 
3.2%
2 89
 
1.5%
3 86
 
1.4%
4 46
 
0.8%
ValueCountFrequency (%)
255 89
1.5%
254 19
 
0.3%
253 18
 
0.3%
252 10
 
0.2%
251 8
 
0.1%

398
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.92533333
Minimum0
Maximum255
Zeros2489
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:39.538275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33
Q3179
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation92.81428863
Coefficient of variation (CV)1.105915043
Kurtosis-1.424452246
Mean83.92533333
Median Absolute Deviation (MAD)33
Skewness0.4888729
Sum503552
Variance8614.492174
MonotonicityNot monotonic
2025-03-21T22:39:39.600242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2489
41.5%
1 116
 
1.9%
2 84
 
1.4%
255 76
 
1.3%
3 63
 
1.1%
215 33
 
0.5%
4 32
 
0.5%
217 30
 
0.5%
196 29
 
0.5%
206 29
 
0.5%
Other values (246) 3019
50.3%
ValueCountFrequency (%)
0 2489
41.5%
1 116
 
1.9%
2 84
 
1.4%
3 63
 
1.1%
4 32
 
0.5%
ValueCountFrequency (%)
255 76
1.3%
254 12
 
0.2%
253 8
 
0.1%
252 10
 
0.2%
251 9
 
0.1%

399
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.99183333
Minimum0
Maximum255
Zeros2174
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:39.662977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75
Q3187.25
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)187.25

Descriptive statistics

Standard deviation93.7845351
Coefficient of variation (CV)0.997794508
Kurtosis-1.547052123
Mean93.99183333
Median Absolute Deviation (MAD)75
Skewness0.308655865
Sum563951
Variance8795.539023
MonotonicityNot monotonic
2025-03-21T22:39:39.725035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2174
36.2%
255 98
 
1.6%
1 93
 
1.6%
2 63
 
1.1%
3 42
 
0.7%
228 34
 
0.6%
209 34
 
0.6%
202 31
 
0.5%
195 30
 
0.5%
208 30
 
0.5%
Other values (246) 3371
56.2%
ValueCountFrequency (%)
0 2174
36.2%
1 93
 
1.6%
2 63
 
1.1%
3 42
 
0.7%
4 28
 
0.5%
ValueCountFrequency (%)
255 98
1.6%
254 20
 
0.3%
253 9
 
0.1%
252 14
 
0.2%
251 11
 
0.2%

400
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.873
Minimum0
Maximum255
Zeros1611
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:39.787597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3191
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation89.70153993
Coefficient of variation (CV)0.8472560514
Kurtosis-1.53292926
Mean105.873
Median Absolute Deviation (MAD)96
Skewness0.07837786929
Sum635238
Variance8046.366265
MonotonicityNot monotonic
2025-03-21T22:39:39.851008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1611
26.9%
255 82
 
1.4%
1 75
 
1.2%
2 63
 
1.1%
220 39
 
0.7%
3 39
 
0.7%
4 36
 
0.6%
224 34
 
0.6%
178 34
 
0.6%
184 33
 
0.5%
Other values (246) 3954
65.9%
ValueCountFrequency (%)
0 1611
26.9%
1 75
 
1.2%
2 63
 
1.1%
3 39
 
0.7%
4 36
 
0.6%
ValueCountFrequency (%)
255 82
1.4%
254 13
 
0.2%
253 15
 
0.2%
252 10
 
0.2%
251 5
 
0.1%

401
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.0603333
Minimum0
Maximum255
Zeros1030
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:39.912199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137.75
median140
Q3200
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)162.25

Descriptive statistics

Standard deviation85.34271453
Coefficient of variation (CV)0.6879129875
Kurtosis-1.364185646
Mean124.0603333
Median Absolute Deviation (MAD)71
Skewness-0.2376185858
Sum744362
Variance7283.378923
MonotonicityNot monotonic
2025-03-21T22:39:39.975783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1030
 
17.2%
255 96
 
1.6%
1 69
 
1.1%
2 46
 
0.8%
214 45
 
0.8%
221 42
 
0.7%
223 39
 
0.7%
207 39
 
0.7%
208 39
 
0.7%
216 38
 
0.6%
Other values (246) 4517
75.3%
ValueCountFrequency (%)
0 1030
17.2%
1 69
 
1.1%
2 46
 
0.8%
3 31
 
0.5%
4 27
 
0.4%
ValueCountFrequency (%)
255 96
1.6%
254 23
 
0.4%
253 14
 
0.2%
252 10
 
0.2%
251 11
 
0.2%

402
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.6275
Minimum0
Maximum255
Zeros664
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:40.039191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median158
Q3206
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)131

Descriptive statistics

Standard deviation79.90172583
Coefficient of variation (CV)0.5763771678
Kurtosis-1.053471608
Mean138.6275
Median Absolute Deviation (MAD)58
Skewness-0.4869085696
Sum831765
Variance6384.285791
MonotonicityNot monotonic
2025-03-21T22:39:40.104010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 664
 
11.1%
255 101
 
1.7%
209 57
 
0.9%
220 55
 
0.9%
198 51
 
0.9%
216 48
 
0.8%
215 48
 
0.8%
210 47
 
0.8%
218 47
 
0.8%
200 47
 
0.8%
Other values (246) 4835
80.6%
ValueCountFrequency (%)
0 664
11.1%
1 43
 
0.7%
2 28
 
0.5%
3 22
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 101
1.7%
254 14
 
0.2%
253 12
 
0.2%
252 6
 
0.1%
251 10
 
0.2%

403
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.301
Minimum0
Maximum255
Zeros492
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:40.164223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194
median165
Q3208
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation75.13307236
Coefficient of variation (CV)0.5170857211
Kurtosis-0.7855357188
Mean145.301
Median Absolute Deviation (MAD)51
Skewness-0.63921891
Sum871806
Variance5644.978562
MonotonicityNot monotonic
2025-03-21T22:39:40.228064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 492
 
8.2%
228 59
 
1.0%
227 57
 
0.9%
203 53
 
0.9%
219 53
 
0.9%
225 52
 
0.9%
224 52
 
0.9%
216 51
 
0.9%
217 51
 
0.9%
211 49
 
0.8%
Other values (246) 5031
83.9%
ValueCountFrequency (%)
0 492
8.2%
1 33
 
0.5%
2 22
 
0.4%
3 19
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 44
0.7%
254 8
 
0.1%
253 8
 
0.1%
252 5
 
0.1%
251 6
 
0.1%

404
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.3518333
Minimum0
Maximum255
Zeros410
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:40.435279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199
median170
Q3211
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)112

Descriptive statistics

Standard deviation74.41750046
Coefficient of variation (CV)0.4982697487
Kurtosis-0.70114283
Mean149.3518333
Median Absolute Deviation (MAD)49
Skewness-0.6671282231
Sum896111
Variance5537.964374
MonotonicityNot monotonic
2025-03-21T22:39:40.495860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 410
 
6.8%
255 67
 
1.1%
228 57
 
0.9%
211 56
 
0.9%
213 55
 
0.9%
230 53
 
0.9%
217 53
 
0.9%
222 52
 
0.9%
210 50
 
0.8%
215 49
 
0.8%
Other values (246) 5098
85.0%
ValueCountFrequency (%)
0 410
6.8%
1 47
 
0.8%
2 18
 
0.3%
3 12
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 67
1.1%
254 17
 
0.3%
253 16
 
0.3%
252 12
 
0.2%
251 13
 
0.2%

405
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.6148333
Minimum0
Maximum255
Zeros541
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:40.558761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188
median164
Q3208.25
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)120.25

Descriptive statistics

Standard deviation76.5366086
Coefficient of variation (CV)0.5329296899
Kurtosis-0.8703893253
Mean143.6148333
Median Absolute Deviation (MAD)52
Skewness-0.6004355823
Sum861689
Variance5857.852455
MonotonicityNot monotonic
2025-03-21T22:39:40.622692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 541
 
9.0%
217 60
 
1.0%
215 53
 
0.9%
210 52
 
0.9%
221 51
 
0.9%
213 50
 
0.8%
220 50
 
0.8%
201 49
 
0.8%
223 49
 
0.8%
222 48
 
0.8%
Other values (246) 4997
83.3%
ValueCountFrequency (%)
0 541
9.0%
1 40
 
0.7%
2 25
 
0.4%
3 18
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 40
0.7%
254 11
 
0.2%
253 7
 
0.1%
252 7
 
0.1%
251 8
 
0.1%

406
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.2813333
Minimum0
Maximum255
Zeros738
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:40.687860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179
median162
Q3206
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation79.29473371
Coefficient of variation (CV)0.5693134307
Kurtosis-1.00527671
Mean139.2813333
Median Absolute Deviation (MAD)54
Skewness-0.5694138284
Sum835688
Variance6287.654794
MonotonicityNot monotonic
2025-03-21T22:39:40.750077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 738
 
12.3%
214 52
 
0.9%
219 52
 
0.9%
215 52
 
0.9%
213 52
 
0.9%
202 51
 
0.9%
221 51
 
0.9%
230 51
 
0.9%
211 50
 
0.8%
217 48
 
0.8%
Other values (246) 4803
80.0%
ValueCountFrequency (%)
0 738
12.3%
1 43
 
0.7%
2 23
 
0.4%
3 10
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 33
0.5%
254 6
 
0.1%
253 5
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

407
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.3571667
Minimum0
Maximum255
Zeros351
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:40.810899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106.75
median175
Q3213
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)106.25

Descriptive statistics

Standard deviation72.52324364
Coefficient of variation (CV)0.4698404694
Kurtosis-0.5200126031
Mean154.3571667
Median Absolute Deviation (MAD)46
Skewness-0.7494556293
Sum926143
Variance5259.620869
MonotonicityNot monotonic
2025-03-21T22:39:40.871559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 351
 
5.9%
255 94
 
1.6%
210 61
 
1.0%
218 61
 
1.0%
220 59
 
1.0%
230 58
 
1.0%
216 57
 
0.9%
219 55
 
0.9%
203 55
 
0.9%
224 53
 
0.9%
Other values (246) 5096
84.9%
ValueCountFrequency (%)
0 351
5.9%
1 31
 
0.5%
2 17
 
0.3%
3 19
 
0.3%
4 9
 
0.1%
ValueCountFrequency (%)
255 94
1.6%
254 24
 
0.4%
253 18
 
0.3%
252 10
 
0.2%
251 6
 
0.1%

408
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.4325
Minimum0
Maximum255
Zeros304
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:40.931074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1112
median179
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)102

Descriptive statistics

Standard deviation70.49928937
Coefficient of variation (CV)0.4478064528
Kurtosis-0.3860845538
Mean157.4325
Median Absolute Deviation (MAD)43
Skewness-0.8203548312
Sum944595
Variance4970.149802
MonotonicityNot monotonic
2025-03-21T22:39:40.995346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 304
 
5.1%
217 66
 
1.1%
216 66
 
1.1%
223 65
 
1.1%
210 64
 
1.1%
255 63
 
1.1%
202 62
 
1.0%
219 61
 
1.0%
211 59
 
1.0%
224 58
 
1.0%
Other values (246) 5132
85.5%
ValueCountFrequency (%)
0 304
5.1%
1 26
 
0.4%
2 14
 
0.2%
3 4
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 63
1.1%
254 9
 
0.1%
253 10
 
0.2%
252 8
 
0.1%
251 6
 
0.1%

409
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.4665
Minimum0
Maximum255
Zeros280
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:41.060205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q1111
median177
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)102

Descriptive statistics

Standard deviation69.64175141
Coefficient of variation (CV)0.4422639191
Kurtosis-0.3856382277
Mean157.4665
Median Absolute Deviation (MAD)43
Skewness-0.8105057818
Sum944799
Variance4849.97354
MonotonicityNot monotonic
2025-03-21T22:39:41.124526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 280
 
4.7%
220 73
 
1.2%
210 62
 
1.0%
218 62
 
1.0%
217 61
 
1.0%
255 61
 
1.0%
219 60
 
1.0%
224 59
 
1.0%
221 58
 
1.0%
212 57
 
0.9%
Other values (246) 5167
86.1%
ValueCountFrequency (%)
0 280
4.7%
1 14
 
0.2%
2 18
 
0.3%
3 12
 
0.2%
4 4
 
0.1%
ValueCountFrequency (%)
255 61
1.0%
254 17
 
0.3%
253 5
 
0.1%
252 8
 
0.1%
251 7
 
0.1%

410
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.5498333
Minimum0
Maximum255
Zeros330
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:41.187662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1104
median174
Q3213
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation72.69493524
Coefficient of variation (CV)0.4734289426
Kurtosis-0.6162217601
Mean153.5498333
Median Absolute Deviation (MAD)47
Skewness-0.6969033226
Sum921299
Variance5284.553609
MonotonicityNot monotonic
2025-03-21T22:39:41.251355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
 
5.5%
255 123
 
2.1%
218 69
 
1.1%
211 59
 
1.0%
219 56
 
0.9%
220 56
 
0.9%
214 55
 
0.9%
225 54
 
0.9%
222 53
 
0.9%
223 53
 
0.9%
Other values (246) 5092
84.9%
ValueCountFrequency (%)
0 330
5.5%
1 21
 
0.4%
2 11
 
0.2%
3 6
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 123
2.1%
254 17
 
0.3%
253 12
 
0.2%
252 9
 
0.1%
251 14
 
0.2%

411
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.4236667
Minimum0
Maximum255
Zeros762
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:41.313409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median160
Q3208
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.66604574
Coefficient of variation (CV)0.6059509157
Kurtosis-1.206347433
Mean136.4236667
Median Absolute Deviation (MAD)60
Skewness-0.4336373482
Sum818542
Variance6833.675119
MonotonicityNot monotonic
2025-03-21T22:39:41.374219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 762
 
12.7%
255 76
 
1.3%
208 54
 
0.9%
219 53
 
0.9%
220 53
 
0.9%
216 53
 
0.9%
215 49
 
0.8%
229 49
 
0.8%
217 48
 
0.8%
223 46
 
0.8%
Other values (246) 4757
79.3%
ValueCountFrequency (%)
0 762
12.7%
1 25
 
0.4%
2 20
 
0.3%
3 9
 
0.1%
4 19
 
0.3%
ValueCountFrequency (%)
255 76
1.3%
254 20
 
0.3%
253 10
 
0.2%
252 9
 
0.1%
251 9
 
0.1%

412
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.4965
Minimum0
Maximum255
Zeros1296
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:41.433402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median150
Q3209
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation89.90053581
Coefficient of variation (CV)0.7106958359
Kurtosis-1.470915214
Mean126.4965
Median Absolute Deviation (MAD)72
Skewness-0.2701281793
Sum758979
Variance8082.106339
MonotonicityNot monotonic
2025-03-21T22:39:41.496336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1296
 
21.6%
255 93
 
1.6%
225 55
 
0.9%
207 52
 
0.9%
215 51
 
0.9%
218 47
 
0.8%
229 46
 
0.8%
212 45
 
0.8%
213 44
 
0.7%
211 44
 
0.7%
Other values (246) 4227
70.5%
ValueCountFrequency (%)
0 1296
21.6%
1 24
 
0.4%
2 18
 
0.3%
3 14
 
0.2%
4 16
 
0.3%
ValueCountFrequency (%)
255 93
1.6%
254 23
 
0.4%
253 7
 
0.1%
252 15
 
0.2%
251 14
 
0.2%

413
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.0525
Minimum0
Maximum255
Zeros1661
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:41.561630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median143
Q3208
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation94.23869286
Coefficient of variation (CV)0.7915725656
Kurtosis-1.617169264
Mean119.0525
Median Absolute Deviation (MAD)82
Skewness-0.1592694912
Sum714315
Variance8880.931232
MonotonicityNot monotonic
2025-03-21T22:39:41.775313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1661
27.7%
255 101
 
1.7%
232 49
 
0.8%
1 47
 
0.8%
220 47
 
0.8%
211 47
 
0.8%
224 46
 
0.8%
213 46
 
0.8%
209 45
 
0.8%
222 45
 
0.8%
Other values (246) 3866
64.4%
ValueCountFrequency (%)
0 1661
27.7%
1 47
 
0.8%
2 42
 
0.7%
3 32
 
0.5%
4 15
 
0.2%
ValueCountFrequency (%)
255 101
1.7%
254 21
 
0.4%
253 11
 
0.2%
252 17
 
0.3%
251 13
 
0.2%

414
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.0386667
Minimum0
Maximum255
Zeros1850
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:41.838851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median123
Q3202
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.39641564
Coefficient of variation (CV)0.8578476866
Kurtosis-1.65579335
Mean110.0386667
Median Absolute Deviation (MAD)98
Skewness-0.01514378548
Sum660232
Variance8910.683285
MonotonicityNot monotonic
2025-03-21T22:39:41.899663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1850
30.8%
1 92
 
1.5%
255 87
 
1.5%
2 58
 
1.0%
214 51
 
0.9%
211 49
 
0.8%
228 44
 
0.7%
220 44
 
0.7%
212 42
 
0.7%
209 41
 
0.7%
Other values (246) 3642
60.7%
ValueCountFrequency (%)
0 1850
30.8%
1 92
 
1.5%
2 58
 
1.0%
3 41
 
0.7%
4 25
 
0.4%
ValueCountFrequency (%)
255 87
1.5%
254 12
 
0.2%
253 15
 
0.2%
252 9
 
0.1%
251 12
 
0.2%

415
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.48766667
Minimum0
Maximum255
Zeros2198
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:41.959970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median76
Q3189
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation93.08361801
Coefficient of variation (CV)0.9956780539
Kurtosis-1.565931094
Mean93.48766667
Median Absolute Deviation (MAD)76
Skewness0.2954413787
Sum560926
Variance8664.559941
MonotonicityNot monotonic
2025-03-21T22:39:42.022674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2198
36.6%
1 95
 
1.6%
255 79
 
1.3%
2 70
 
1.2%
3 41
 
0.7%
224 40
 
0.7%
217 37
 
0.6%
219 35
 
0.6%
190 34
 
0.6%
201 33
 
0.5%
Other values (246) 3338
55.6%
ValueCountFrequency (%)
0 2198
36.6%
1 95
 
1.6%
2 70
 
1.2%
3 41
 
0.7%
4 29
 
0.5%
ValueCountFrequency (%)
255 79
1.3%
254 12
 
0.2%
253 13
 
0.2%
252 7
 
0.1%
251 7
 
0.1%

416
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.71183333
Minimum0
Maximum255
Zeros3046
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.084255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3161
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)161

Descriptive statistics

Standard deviation88.40943293
Coefficient of variation (CV)1.250277765
Kurtosis-1.169150802
Mean70.71183333
Median Absolute Deviation (MAD)0
Skewness0.7190001742
Sum424271
Variance7816.227831
MonotonicityNot monotonic
2025-03-21T22:39:42.150522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3046
50.8%
1 59
 
1.0%
2 33
 
0.5%
198 29
 
0.5%
204 28
 
0.5%
203 28
 
0.5%
208 28
 
0.5%
209 28
 
0.5%
220 27
 
0.4%
213 27
 
0.4%
Other values (246) 2667
44.5%
ValueCountFrequency (%)
0 3046
50.8%
1 59
 
1.0%
2 33
 
0.5%
3 17
 
0.3%
4 20
 
0.3%
ValueCountFrequency (%)
255 20
0.3%
254 6
 
0.1%
253 2
 
< 0.1%
252 3
 
0.1%
251 1
 
< 0.1%

417
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.74083333
Minimum0
Maximum255
Zeros3742
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.213478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3137
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation86.27411858
Coefficient of variation (CV)1.4941613
Kurtosis-0.6782005339
Mean57.74083333
Median Absolute Deviation (MAD)0
Skewness1.027316625
Sum346445
Variance7443.223537
MonotonicityNot monotonic
2025-03-21T22:39:42.274003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3742
62.4%
1 46
 
0.8%
195 29
 
0.5%
222 27
 
0.4%
209 25
 
0.4%
207 24
 
0.4%
201 24
 
0.4%
210 24
 
0.4%
2 24
 
0.4%
212 24
 
0.4%
Other values (244) 2011
33.5%
ValueCountFrequency (%)
0 3742
62.4%
1 46
 
0.8%
2 24
 
0.4%
3 16
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 20
0.3%
254 3
 
0.1%
253 4
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

418
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.2805
Minimum0
Maximum255
Zeros4093
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.334340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q372
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)72

Descriptive statistics

Standard deviation82.13299656
Coefficient of variation (CV)1.737143147
Kurtosis0.3984060926
Mean47.2805
Median Absolute Deviation (MAD)0
Skewness1.42375493
Sum283683
Variance6745.829125
MonotonicityNot monotonic
2025-03-21T22:39:42.395261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4093
68.2%
255 109
 
1.8%
1 35
 
0.6%
2 24
 
0.4%
213 19
 
0.3%
196 17
 
0.3%
214 17
 
0.3%
239 17
 
0.3%
219 15
 
0.2%
240 15
 
0.2%
Other values (244) 1639
27.3%
ValueCountFrequency (%)
0 4093
68.2%
1 35
 
0.6%
2 24
 
0.4%
3 9
 
0.1%
4 14
 
0.2%
ValueCountFrequency (%)
255 109
1.8%
254 7
 
0.1%
253 5
 
0.1%
252 4
 
0.1%
251 7
 
0.1%

419
Real number (ℝ)

Zeros 

Distinct196
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.58833333
Minimum0
Maximum238
Zeros4916
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.454829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile93
Maximum238
Range238
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.93125074
Coefficient of variation (CV)2.841759017
Kurtosis11.26794033
Mean11.58833333
Median Absolute Deviation (MAD)0
Skewness3.318014514
Sum69530
Variance1084.467275
MonotonicityNot monotonic
2025-03-21T22:39:42.514019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4916
81.9%
1 52
 
0.9%
2 26
 
0.4%
5 19
 
0.3%
3 17
 
0.3%
4 15
 
0.2%
17 14
 
0.2%
12 13
 
0.2%
58 13
 
0.2%
65 13
 
0.2%
Other values (186) 902
 
15.0%
ValueCountFrequency (%)
0 4916
81.9%
1 52
 
0.9%
2 26
 
0.4%
3 17
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
238 1
< 0.1%
233 1
< 0.1%
229 1
< 0.1%
226 1
< 0.1%
221 1
< 0.1%

420
Real number (ℝ)

Zeros 

Distinct169
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.065
Minimum0
Maximum250
Zeros5232
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.577890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.17386334
Coefficient of variation (CV)4.15067821
Kurtosis30.06886541
Mean6.065
Median Absolute Deviation (MAD)0
Skewness5.227604773
Sum36390
Variance633.7233956
MonotonicityNot monotonic
2025-03-21T22:39:42.641219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5232
87.2%
1 135
 
2.2%
2 66
 
1.1%
3 28
 
0.5%
4 13
 
0.2%
5 11
 
0.2%
7 11
 
0.2%
19 10
 
0.2%
25 10
 
0.2%
39 9
 
0.1%
Other values (159) 475
 
7.9%
ValueCountFrequency (%)
0 5232
87.2%
1 135
 
2.2%
2 66
 
1.1%
3 28
 
0.5%
4 13
 
0.2%
ValueCountFrequency (%)
250 1
 
< 0.1%
234 3
0.1%
228 1
 
< 0.1%
226 1
 
< 0.1%
213 2
< 0.1%

421
Real number (ℝ)

Zeros 

Distinct248
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.063
Minimum0
Maximum255
Zeros4883
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.702608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile166
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.76852996
Coefficient of variation (CV)2.865998448
Kurtosis7.975929298
Mean18.063
Median Absolute Deviation (MAD)0
Skewness2.998668963
Sum108378
Variance2679.980694
MonotonicityNot monotonic
2025-03-21T22:39:42.765367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4883
81.4%
1 105
 
1.8%
2 52
 
0.9%
3 45
 
0.8%
4 30
 
0.5%
255 18
 
0.3%
5 14
 
0.2%
6 11
 
0.2%
13 10
 
0.2%
182 10
 
0.2%
Other values (238) 822
 
13.7%
ValueCountFrequency (%)
0 4883
81.4%
1 105
 
1.8%
2 52
 
0.9%
3 45
 
0.8%
4 30
 
0.5%
ValueCountFrequency (%)
255 18
0.3%
254 4
 
0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%
250 4
 
0.1%

422
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.25433333
Minimum0
Maximum255
Zeros4675
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.826999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile179
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.41242512
Coefficient of variation (CV)2.534896205
Kurtosis5.531489601
Mean22.25433333
Median Absolute Deviation (MAD)0
Skewness2.589231251
Sum133526
Variance3182.361708
MonotonicityNot monotonic
2025-03-21T22:39:42.892338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4675
77.9%
1 100
 
1.7%
2 58
 
1.0%
3 43
 
0.7%
4 29
 
0.5%
5 15
 
0.2%
255 15
 
0.2%
119 13
 
0.2%
10 11
 
0.2%
22 10
 
0.2%
Other values (239) 1031
 
17.2%
ValueCountFrequency (%)
0 4675
77.9%
1 100
 
1.7%
2 58
 
1.0%
3 43
 
0.7%
4 29
 
0.5%
ValueCountFrequency (%)
255 15
0.2%
254 1
 
< 0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
250 2
 
< 0.1%

423
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.9425
Minimum0
Maximum255
Zeros4197
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:42.952639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile204
Maximum255
Range255
Interquartile range (IQR)15

Descriptive statistics

Standard deviation66.47911531
Coefficient of variation (CV)2.018034919
Kurtosis2.478447023
Mean32.9425
Median Absolute Deviation (MAD)0
Skewness1.949586939
Sum197655
Variance4419.472773
MonotonicityNot monotonic
2025-03-21T22:39:43.014112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4197
70.0%
1 104
 
1.7%
2 49
 
0.8%
3 33
 
0.5%
255 30
 
0.5%
4 26
 
0.4%
5 21
 
0.4%
209 13
 
0.2%
161 13
 
0.2%
27 13
 
0.2%
Other values (246) 1501
 
25.0%
ValueCountFrequency (%)
0 4197
70.0%
1 104
 
1.7%
2 49
 
0.8%
3 33
 
0.5%
4 26
 
0.4%
ValueCountFrequency (%)
255 30
0.5%
254 5
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 2
 
< 0.1%

424
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.62366667
Minimum0
Maximum255
Zeros3186
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:43.221811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3109
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation79.86611384
Coefficient of variation (CV)1.435829722
Kurtosis-0.2261778895
Mean55.62366667
Median Absolute Deviation (MAD)0
Skewness1.127527501
Sum333742
Variance6378.596139
MonotonicityNot monotonic
2025-03-21T22:39:43.284831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3186
53.1%
1 123
 
2.1%
2 66
 
1.1%
255 46
 
0.8%
3 35
 
0.6%
5 29
 
0.5%
4 29
 
0.5%
210 22
 
0.4%
6 20
 
0.3%
78 18
 
0.3%
Other values (246) 2426
40.4%
ValueCountFrequency (%)
0 3186
53.1%
1 123
 
2.1%
2 66
 
1.1%
3 35
 
0.6%
4 29
 
0.5%
ValueCountFrequency (%)
255 46
0.8%
254 6
 
0.1%
253 6
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

425
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.79766667
Minimum0
Maximum255
Zeros2513
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:43.346115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q3169
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)169

Descriptive statistics

Standard deviation90.76627575
Coefficient of variation (CV)1.1518904
Kurtosis-1.28263286
Mean78.79766667
Median Absolute Deviation (MAD)16
Skewness0.5896411282
Sum472786
Variance8238.516814
MonotonicityNot monotonic
2025-03-21T22:39:43.409013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2513
41.9%
1 164
 
2.7%
2 101
 
1.7%
255 89
 
1.5%
3 80
 
1.3%
4 48
 
0.8%
211 31
 
0.5%
5 29
 
0.5%
214 27
 
0.4%
254 27
 
0.4%
Other values (246) 2891
48.2%
ValueCountFrequency (%)
0 2513
41.9%
1 164
 
2.7%
2 101
 
1.7%
3 80
 
1.3%
4 48
 
0.8%
ValueCountFrequency (%)
255 89
1.5%
254 27
 
0.4%
253 9
 
0.1%
252 7
 
0.1%
251 10
 
0.2%

426
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.2505
Minimum0
Maximum255
Zeros2351
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:43.470203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median53
Q3182
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation93.24661516
Coefficient of variation (CV)1.056612882
Kurtosis-1.48767394
Mean88.2505
Median Absolute Deviation (MAD)53
Skewness0.4061857544
Sum529503
Variance8694.931238
MonotonicityNot monotonic
2025-03-21T22:39:43.531886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2351
39.2%
1 117
 
1.9%
255 90
 
1.5%
2 83
 
1.4%
3 58
 
1.0%
205 37
 
0.6%
4 31
 
0.5%
212 31
 
0.5%
238 31
 
0.5%
228 29
 
0.5%
Other values (246) 3142
52.4%
ValueCountFrequency (%)
0 2351
39.2%
1 117
 
1.9%
2 83
 
1.4%
3 58
 
1.0%
4 31
 
0.5%
ValueCountFrequency (%)
255 90
1.5%
254 19
 
0.3%
253 8
 
0.1%
252 13
 
0.2%
251 10
 
0.2%

427
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.09633333
Minimum0
Maximum255
Zeros2065
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:43.592076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median85
Q3187
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation92.74169445
Coefficient of variation (CV)0.9650908753
Kurtosis-1.528649544
Mean96.09633333
Median Absolute Deviation (MAD)85
Skewness0.276568818
Sum576578
Variance8601.02189
MonotonicityNot monotonic
2025-03-21T22:39:43.656352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2065
34.4%
255 102
 
1.7%
1 70
 
1.2%
3 51
 
0.9%
2 48
 
0.8%
231 32
 
0.5%
224 30
 
0.5%
222 30
 
0.5%
196 30
 
0.5%
223 29
 
0.5%
Other values (246) 3513
58.6%
ValueCountFrequency (%)
0 2065
34.4%
1 70
 
1.2%
2 48
 
0.8%
3 51
 
0.9%
4 23
 
0.4%
ValueCountFrequency (%)
255 102
1.7%
254 27
 
0.4%
253 9
 
0.1%
252 16
 
0.3%
251 15
 
0.2%

428
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.417
Minimum0
Maximum255
Zeros1478
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:43.718032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median112
Q3191
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation88.37979563
Coefficient of variation (CV)0.8151839253
Kurtosis-1.513140854
Mean108.417
Median Absolute Deviation (MAD)91
Skewness0.03501006695
Sum650502
Variance7810.988276
MonotonicityNot monotonic
2025-03-21T22:39:43.780674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1478
 
24.6%
255 75
 
1.2%
1 56
 
0.9%
2 39
 
0.7%
198 38
 
0.6%
214 37
 
0.6%
3 36
 
0.6%
220 35
 
0.6%
209 35
 
0.6%
217 35
 
0.6%
Other values (246) 4136
68.9%
ValueCountFrequency (%)
0 1478
24.6%
1 56
 
0.9%
2 39
 
0.7%
3 36
 
0.6%
4 22
 
0.4%
ValueCountFrequency (%)
255 75
1.2%
254 15
 
0.2%
253 10
 
0.2%
252 6
 
0.1%
251 14
 
0.2%

429
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.0306667
Minimum0
Maximum255
Zeros858
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:43.842033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q158
median147
Q3203
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)145

Descriptive statistics

Standard deviation82.94971872
Coefficient of variation (CV)0.6379242747
Kurtosis-1.251403606
Mean130.0306667
Median Absolute Deviation (MAD)65
Skewness-0.3292784904
Sum780184
Variance6880.655836
MonotonicityNot monotonic
2025-03-21T22:39:43.903512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 858
 
14.3%
255 108
 
1.8%
1 48
 
0.8%
207 46
 
0.8%
212 44
 
0.7%
223 44
 
0.7%
190 44
 
0.7%
202 43
 
0.7%
215 41
 
0.7%
216 40
 
0.7%
Other values (246) 4684
78.1%
ValueCountFrequency (%)
0 858
14.3%
1 48
 
0.8%
2 40
 
0.7%
3 17
 
0.3%
4 21
 
0.4%
ValueCountFrequency (%)
255 108
1.8%
254 19
 
0.3%
253 16
 
0.3%
252 7
 
0.1%
251 10
 
0.2%

430
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.9531667
Minimum0
Maximum255
Zeros494
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:43.966763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191
median164
Q3208
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation76.07074405
Coefficient of variation (CV)0.5247953239
Kurtosis-0.8399771592
Mean144.9531667
Median Absolute Deviation (MAD)53
Skewness-0.5789584044
Sum869719
Variance5786.7581
MonotonicityNot monotonic
2025-03-21T22:39:44.030236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 494
 
8.2%
255 106
 
1.8%
215 53
 
0.9%
204 51
 
0.9%
216 49
 
0.8%
208 49
 
0.8%
220 49
 
0.8%
200 49
 
0.8%
225 48
 
0.8%
211 47
 
0.8%
Other values (246) 5005
83.4%
ValueCountFrequency (%)
0 494
8.2%
1 44
 
0.7%
2 22
 
0.4%
3 13
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 106
1.8%
254 18
 
0.3%
253 11
 
0.2%
252 9
 
0.1%
251 11
 
0.2%

431
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.0973333
Minimum0
Maximum255
Zeros383
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:44.095848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1102
median171
Q3210.25
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation72.23128191
Coefficient of variation (CV)0.4780447167
Kurtosis-0.5937823085
Mean151.0973333
Median Absolute Deviation (MAD)47.5
Skewness-0.7107522058
Sum906584
Variance5217.358086
MonotonicityNot monotonic
2025-03-21T22:39:44.156867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 383
 
6.4%
225 63
 
1.1%
227 62
 
1.0%
255 59
 
1.0%
220 56
 
0.9%
223 54
 
0.9%
217 54
 
0.9%
233 53
 
0.9%
224 53
 
0.9%
207 52
 
0.9%
Other values (245) 5111
85.2%
ValueCountFrequency (%)
0 383
6.4%
1 25
 
0.4%
2 20
 
0.3%
3 9
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 59
1.0%
254 11
 
0.2%
253 9
 
0.1%
252 10
 
0.2%
251 5
 
0.1%

432
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.411
Minimum0
Maximum255
Zeros340
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:44.217092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1104
median172
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation72.17141769
Coefficient of variation (CV)0.4735315541
Kurtosis-0.5788141163
Mean152.411
Median Absolute Deviation (MAD)47
Skewness-0.7150834393
Sum914466
Variance5208.713531
MonotonicityNot monotonic
2025-03-21T22:39:44.277182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 340
 
5.7%
229 62
 
1.0%
215 61
 
1.0%
255 61
 
1.0%
221 57
 
0.9%
210 55
 
0.9%
217 55
 
0.9%
223 54
 
0.9%
218 52
 
0.9%
230 52
 
0.9%
Other values (246) 5151
85.9%
ValueCountFrequency (%)
0 340
5.7%
1 33
 
0.5%
2 22
 
0.4%
3 12
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 61
1.0%
254 10
 
0.2%
253 12
 
0.2%
252 7
 
0.1%
251 11
 
0.2%

433
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.172
Minimum0
Maximum255
Zeros531
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:44.336908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191
median166
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)118

Descriptive statistics

Standard deviation75.89394177
Coefficient of variation (CV)0.5227863622
Kurtosis-0.8121768901
Mean145.172
Median Absolute Deviation (MAD)51
Skewness-0.6444858929
Sum871032
Variance5759.890398
MonotonicityNot monotonic
2025-03-21T22:39:44.540139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 531
 
8.8%
216 66
 
1.1%
215 58
 
1.0%
231 54
 
0.9%
230 53
 
0.9%
218 53
 
0.9%
211 51
 
0.9%
198 51
 
0.9%
203 49
 
0.8%
206 48
 
0.8%
Other values (246) 4986
83.1%
ValueCountFrequency (%)
0 531
8.8%
1 41
 
0.7%
2 22
 
0.4%
3 12
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 43
0.7%
254 2
 
< 0.1%
253 4
 
0.1%
252 3
 
0.1%
251 4
 
0.1%

434
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.7516667
Minimum0
Maximum255
Zeros750
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:44.602455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178
median163
Q3207
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation79.36794615
Coefficient of variation (CV)0.5679212852
Kurtosis-1.0084001
Mean139.7516667
Median Absolute Deviation (MAD)53
Skewness-0.5821034441
Sum838510
Variance6299.270876
MonotonicityNot monotonic
2025-03-21T22:39:44.665802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 750
 
12.5%
215 64
 
1.1%
212 59
 
1.0%
214 56
 
0.9%
201 55
 
0.9%
217 53
 
0.9%
202 52
 
0.9%
204 51
 
0.9%
198 51
 
0.9%
225 51
 
0.9%
Other values (246) 4758
79.3%
ValueCountFrequency (%)
0 750
12.5%
1 29
 
0.5%
2 25
 
0.4%
3 14
 
0.2%
4 3
 
0.1%
ValueCountFrequency (%)
255 28
0.5%
254 6
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 3
 
0.1%

435
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.2215
Minimum0
Maximum255
Zeros358
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:44.728276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1105
median176
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation72.35209678
Coefficient of variation (CV)0.4691440349
Kurtosis-0.5453471078
Mean154.2215
Median Absolute Deviation (MAD)46
Skewness-0.7511684979
Sum925329
Variance5234.825909
MonotonicityNot monotonic
2025-03-21T22:39:44.789626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 358
 
6.0%
255 81
 
1.4%
224 64
 
1.1%
213 58
 
1.0%
217 57
 
0.9%
228 56
 
0.9%
215 55
 
0.9%
218 54
 
0.9%
219 54
 
0.9%
196 53
 
0.9%
Other values (246) 5110
85.2%
ValueCountFrequency (%)
0 358
6.0%
1 23
 
0.4%
2 13
 
0.2%
3 11
 
0.2%
4 5
 
0.1%
ValueCountFrequency (%)
255 81
1.4%
254 12
 
0.2%
253 9
 
0.1%
252 10
 
0.2%
251 6
 
0.1%

436
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.0665
Minimum0
Maximum255
Zeros284
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:44.849135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q1114
median181
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)100

Descriptive statistics

Standard deviation69.56340218
Coefficient of variation (CV)0.4373227686
Kurtosis-0.3292026971
Mean159.0665
Median Absolute Deviation (MAD)41
Skewness-0.8433560019
Sum954399
Variance4839.066922
MonotonicityNot monotonic
2025-03-21T22:39:44.912321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 284
 
4.7%
209 66
 
1.1%
218 64
 
1.1%
230 61
 
1.0%
221 59
 
1.0%
213 59
 
1.0%
229 59
 
1.0%
201 58
 
1.0%
211 57
 
0.9%
216 56
 
0.9%
Other values (244) 5177
86.3%
ValueCountFrequency (%)
0 284
4.7%
1 13
 
0.2%
2 14
 
0.2%
3 11
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 56
0.9%
254 12
 
0.2%
253 8
 
0.1%
252 11
 
0.2%
251 4
 
0.1%

437
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.9246667
Minimum0
Maximum255
Zeros231
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:44.974675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q1113.75
median180
Q3214
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)100.25

Descriptive statistics

Standard deviation68.45901522
Coefficient of variation (CV)0.4307639377
Kurtosis-0.3462627989
Mean158.9246667
Median Absolute Deviation (MAD)41
Skewness-0.8240296961
Sum953548
Variance4686.636764
MonotonicityNot monotonic
2025-03-21T22:39:45.038365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 231
 
3.9%
210 67
 
1.1%
214 65
 
1.1%
228 64
 
1.1%
215 63
 
1.1%
213 63
 
1.1%
223 61
 
1.0%
216 61
 
1.0%
217 60
 
1.0%
219 59
 
1.0%
Other values (246) 5206
86.8%
ValueCountFrequency (%)
0 231
3.9%
1 19
 
0.3%
2 13
 
0.2%
3 4
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 51
0.9%
254 9
 
0.1%
253 9
 
0.1%
252 9
 
0.1%
251 5
 
0.1%

438
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.2081667
Minimum0
Maximum255
Zeros280
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:45.102620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.95
Q1106
median178
Q3214
95-th percentile242.05
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation71.34910616
Coefficient of variation (CV)0.4567565684
Kurtosis-0.5707958027
Mean156.2081667
Median Absolute Deviation (MAD)45
Skewness-0.7126425532
Sum937249
Variance5090.694949
MonotonicityNot monotonic
2025-03-21T22:39:45.166625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 280
 
4.7%
255 112
 
1.9%
217 64
 
1.1%
209 62
 
1.0%
222 60
 
1.0%
206 58
 
1.0%
211 58
 
1.0%
213 57
 
0.9%
203 56
 
0.9%
210 55
 
0.9%
Other values (246) 5138
85.6%
ValueCountFrequency (%)
0 280
4.7%
1 8
 
0.1%
2 4
 
0.1%
3 8
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 112
1.9%
254 19
 
0.3%
253 21
 
0.4%
252 7
 
0.1%
251 19
 
0.3%

439
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.3848333
Minimum0
Maximum255
Zeros714
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:45.230064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q170
median159
Q3209
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)139

Descriptive statistics

Standard deviation81.28616514
Coefficient of variation (CV)0.5916676766
Kurtosis-1.159066988
Mean137.3848333
Median Absolute Deviation (MAD)59
Skewness-0.4452541489
Sum824309
Variance6607.440643
MonotonicityNot monotonic
2025-03-21T22:39:45.290671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 714
 
11.9%
255 82
 
1.4%
217 64
 
1.1%
218 55
 
0.9%
209 53
 
0.9%
213 51
 
0.9%
200 51
 
0.9%
216 51
 
0.9%
212 50
 
0.8%
214 49
 
0.8%
Other values (246) 4780
79.7%
ValueCountFrequency (%)
0 714
11.9%
1 14
 
0.2%
2 11
 
0.2%
3 8
 
0.1%
4 16
 
0.3%
ValueCountFrequency (%)
255 82
1.4%
254 14
 
0.2%
253 3
 
0.1%
252 14
 
0.2%
251 10
 
0.2%

440
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.0498333
Minimum0
Maximum255
Zeros1292
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:45.349659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median146
Q3207
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation89.56567433
Coefficient of variation (CV)0.7162398537
Kurtosis-1.476415011
Mean125.0498333
Median Absolute Deviation (MAD)74
Skewness-0.247150565
Sum750299
Variance8022.010018
MonotonicityNot monotonic
2025-03-21T22:39:45.413373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1292
 
21.5%
255 89
 
1.5%
223 49
 
0.8%
205 47
 
0.8%
222 47
 
0.8%
220 45
 
0.8%
199 44
 
0.7%
216 44
 
0.7%
206 44
 
0.7%
207 42
 
0.7%
Other values (246) 4257
71.0%
ValueCountFrequency (%)
0 1292
21.5%
1 25
 
0.4%
2 11
 
0.2%
3 18
 
0.3%
4 16
 
0.3%
ValueCountFrequency (%)
255 89
1.5%
254 15
 
0.2%
253 13
 
0.2%
252 12
 
0.2%
251 14
 
0.2%

441
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.7666667
Minimum0
Maximum255
Zeros1682
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:45.475771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median141
Q3207
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)207

Descriptive statistics

Standard deviation94.46959285
Coefficient of variation (CV)0.7954217753
Kurtosis-1.619817493
Mean118.7666667
Median Absolute Deviation (MAD)84
Skewness-0.143128834
Sum712600
Variance8924.503973
MonotonicityNot monotonic
2025-03-21T22:39:45.539764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1682
28.0%
255 113
 
1.9%
220 54
 
0.9%
197 51
 
0.9%
216 45
 
0.8%
207 45
 
0.8%
222 45
 
0.8%
221 44
 
0.7%
215 43
 
0.7%
214 43
 
0.7%
Other values (246) 3835
63.9%
ValueCountFrequency (%)
0 1682
28.0%
1 39
 
0.7%
2 40
 
0.7%
3 21
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
255 113
1.9%
254 11
 
0.2%
253 19
 
0.3%
252 10
 
0.2%
251 8
 
0.1%

442
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.7956667
Minimum0
Maximum255
Zeros1830
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:45.602292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median125
Q3203
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation94.69216625
Coefficient of variation (CV)0.8546558642
Kurtosis-1.656883924
Mean110.7956667
Median Absolute Deviation (MAD)97
Skewness-0.02371133768
Sum664774
Variance8966.606349
MonotonicityNot monotonic
2025-03-21T22:39:45.666180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1830
30.5%
1 92
 
1.5%
255 78
 
1.3%
2 75
 
1.2%
3 46
 
0.8%
218 45
 
0.8%
215 44
 
0.7%
225 43
 
0.7%
206 40
 
0.7%
207 39
 
0.7%
Other values (246) 3668
61.1%
ValueCountFrequency (%)
0 1830
30.5%
1 92
 
1.5%
2 75
 
1.2%
3 46
 
0.8%
4 19
 
0.3%
ValueCountFrequency (%)
255 78
1.3%
254 20
 
0.3%
253 14
 
0.2%
252 13
 
0.2%
251 13
 
0.2%

443
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.234
Minimum0
Maximum255
Zeros2142
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:45.870896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median83
Q3190
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation92.8479745
Coefficient of variation (CV)0.9749456549
Kurtosis-1.58044107
Mean95.234
Median Absolute Deviation (MAD)83
Skewness0.2583333309
Sum571404
Variance8620.746368
MonotonicityNot monotonic
2025-03-21T22:39:45.932186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2142
35.7%
1 108
 
1.8%
255 68
 
1.1%
2 66
 
1.1%
3 42
 
0.7%
230 37
 
0.6%
216 37
 
0.6%
210 36
 
0.6%
218 35
 
0.6%
204 35
 
0.6%
Other values (246) 3394
56.6%
ValueCountFrequency (%)
0 2142
35.7%
1 108
 
1.8%
2 66
 
1.1%
3 42
 
0.7%
4 23
 
0.4%
ValueCountFrequency (%)
255 68
1.1%
254 17
 
0.3%
253 14
 
0.2%
252 10
 
0.2%
251 11
 
0.2%

444
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.28766667
Minimum0
Maximum255
Zeros2978
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:45.992576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3165
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)165

Descriptive statistics

Standard deviation88.9957562
Coefficient of variation (CV)1.214334693
Kurtosis-1.239947303
Mean73.28766667
Median Absolute Deviation (MAD)1
Skewness0.6650843537
Sum439726
Variance7920.244622
MonotonicityNot monotonic
2025-03-21T22:39:46.058667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2978
49.6%
1 45
 
0.8%
196 32
 
0.5%
204 32
 
0.5%
213 31
 
0.5%
212 31
 
0.5%
198 30
 
0.5%
200 29
 
0.5%
210 27
 
0.4%
207 26
 
0.4%
Other values (246) 2739
45.6%
ValueCountFrequency (%)
0 2978
49.6%
1 45
 
0.8%
2 18
 
0.3%
3 18
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 15
0.2%
254 4
 
0.1%
253 5
 
0.1%
252 3
 
0.1%
251 5
 
0.1%

445
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.69733333
Minimum0
Maximum255
Zeros3689
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.121662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3143
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)143

Descriptive statistics

Standard deviation86.96885835
Coefficient of variation (CV)1.45682987
Kurtosis-0.7857237768
Mean59.69733333
Median Absolute Deviation (MAD)0
Skewness0.9736989488
Sum358184
Variance7563.582323
MonotonicityNot monotonic
2025-03-21T22:39:46.185442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3689
61.5%
1 35
 
0.6%
216 31
 
0.5%
255 29
 
0.5%
209 27
 
0.4%
211 27
 
0.4%
225 27
 
0.4%
221 26
 
0.4%
207 26
 
0.4%
205 25
 
0.4%
Other values (245) 2058
34.3%
ValueCountFrequency (%)
0 3689
61.5%
1 35
 
0.6%
2 23
 
0.4%
3 12
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 29
0.5%
254 4
 
0.1%
253 5
 
0.1%
252 2
 
< 0.1%
251 3
 
0.1%

446
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.20116667
Minimum0
Maximum255
Zeros4043
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.249203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q392
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)92

Descriptive statistics

Standard deviation85.43665842
Coefficient of variation (CV)1.668646712
Kurtosis0.04381273645
Mean51.20116667
Median Absolute Deviation (MAD)0
Skewness1.309445542
Sum307207
Variance7299.422602
MonotonicityNot monotonic
2025-03-21T22:39:46.310225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4043
67.4%
255 122
 
2.0%
1 25
 
0.4%
229 21
 
0.4%
2 19
 
0.3%
214 18
 
0.3%
207 18
 
0.3%
234 17
 
0.3%
224 17
 
0.3%
217 16
 
0.3%
Other values (246) 1684
28.1%
ValueCountFrequency (%)
0 4043
67.4%
1 25
 
0.4%
2 19
 
0.3%
3 8
 
0.1%
4 11
 
0.2%
ValueCountFrequency (%)
255 122
2.0%
254 14
 
0.2%
253 9
 
0.1%
252 16
 
0.3%
251 4
 
0.1%

447
Real number (ℝ)

Zeros 

Distinct200
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.75866667
Minimum0
Maximum241
Zeros4809
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.370392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile104.05
Maximum241
Range241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.02715297
Coefficient of variation (CV)2.618506127
Kurtosis8.614696174
Mean13.75866667
Median Absolute Deviation (MAD)0
Skewness2.974865836
Sum82552
Variance1297.955751
MonotonicityNot monotonic
2025-03-21T22:39:46.432895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4809
80.2%
1 48
 
0.8%
2 21
 
0.4%
3 16
 
0.3%
31 15
 
0.2%
33 15
 
0.2%
25 14
 
0.2%
32 14
 
0.2%
42 14
 
0.2%
38 13
 
0.2%
Other values (190) 1021
 
17.0%
ValueCountFrequency (%)
0 4809
80.2%
1 48
 
0.8%
2 21
 
0.4%
3 16
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
241 1
< 0.1%
230 1
< 0.1%
222 1
< 0.1%
215 1
< 0.1%
213 1
< 0.1%

448
Real number (ℝ)

Zeros 

Distinct185
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.125
Minimum0
Maximum243
Zeros4900
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.493627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile77
Maximum243
Range243
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.65010787
Coefficient of variation (CV)3.249326889
Kurtosis16.28358693
Mean9.125
Median Absolute Deviation (MAD)0
Skewness3.924439171
Sum54750
Variance879.1288965
MonotonicityNot monotonic
2025-03-21T22:39:46.555596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4900
81.7%
1 158
 
2.6%
2 97
 
1.6%
3 38
 
0.6%
4 28
 
0.5%
5 18
 
0.3%
23 14
 
0.2%
7 14
 
0.2%
6 11
 
0.2%
32 11
 
0.2%
Other values (175) 711
 
11.8%
ValueCountFrequency (%)
0 4900
81.7%
1 158
 
2.6%
2 97
 
1.6%
3 38
 
0.6%
4 28
 
0.5%
ValueCountFrequency (%)
243 1
< 0.1%
217 1
< 0.1%
216 1
< 0.1%
213 1
< 0.1%
212 1
< 0.1%

449
Real number (ℝ)

Zeros 

Distinct248
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.646
Minimum0
Maximum255
Zeros4663
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.615963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile181
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.21398597
Coefficient of variation (CV)2.46189571
Kurtosis4.778819956
Mean23.646
Median Absolute Deviation (MAD)0
Skewness2.453269978
Sum141876
Variance3388.868162
MonotonicityNot monotonic
2025-03-21T22:39:46.680515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4663
77.7%
1 94
 
1.6%
2 57
 
0.9%
3 37
 
0.6%
4 34
 
0.6%
255 28
 
0.5%
5 19
 
0.3%
6 14
 
0.2%
9 11
 
0.2%
188 10
 
0.2%
Other values (238) 1033
 
17.2%
ValueCountFrequency (%)
0 4663
77.7%
1 94
 
1.6%
2 57
 
0.9%
3 37
 
0.6%
4 34
 
0.6%
ValueCountFrequency (%)
255 28
0.5%
254 1
 
< 0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

450
Real number (ℝ)

Zeros 

Distinct252
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.608
Minimum0
Maximum255
Zeros4467
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.744264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation61.50890635
Coefficient of variation (CV)2.227937784
Kurtosis3.347190553
Mean27.608
Median Absolute Deviation (MAD)0
Skewness2.165401782
Sum165648
Variance3783.34556
MonotonicityNot monotonic
2025-03-21T22:39:46.805617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4467
74.5%
1 79
 
1.3%
2 58
 
1.0%
3 36
 
0.6%
5 24
 
0.4%
6 16
 
0.3%
4 16
 
0.3%
255 15
 
0.2%
160 13
 
0.2%
185 13
 
0.2%
Other values (242) 1263
 
21.1%
ValueCountFrequency (%)
0 4467
74.5%
1 79
 
1.3%
2 58
 
1.0%
3 36
 
0.6%
4 16
 
0.3%
ValueCountFrequency (%)
255 15
0.2%
254 4
 
0.1%
253 2
 
< 0.1%
251 2
 
< 0.1%
250 1
 
< 0.1%

451
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.9805
Minimum0
Maximum255
Zeros3999
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.864618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q351
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)51

Descriptive statistics

Standard deviation70.75546275
Coefficient of variation (CV)1.81515021
Kurtosis1.283210239
Mean38.9805
Median Absolute Deviation (MAD)0
Skewness1.645405758
Sum233883
Variance5006.335509
MonotonicityNot monotonic
2025-03-21T22:39:46.924996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3999
66.6%
1 82
 
1.4%
2 47
 
0.8%
255 32
 
0.5%
3 30
 
0.5%
4 19
 
0.3%
5 17
 
0.3%
6 15
 
0.2%
165 14
 
0.2%
24 14
 
0.2%
Other values (246) 1731
28.8%
ValueCountFrequency (%)
0 3999
66.6%
1 82
 
1.4%
2 47
 
0.8%
3 30
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 32
0.5%
254 5
 
0.1%
253 3
 
0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%

452
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.27783333
Minimum0
Maximum255
Zeros2935
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:46.984419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3129
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation81.95111941
Coefficient of variation (CV)1.31589548
Kurtosis-0.6258453494
Mean62.27783333
Median Absolute Deviation (MAD)1
Skewness0.9391664315
Sum373667
Variance6715.985973
MonotonicityNot monotonic
2025-03-21T22:39:47.047632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2935
48.9%
1 102
 
1.7%
2 74
 
1.2%
255 56
 
0.9%
3 54
 
0.9%
4 29
 
0.5%
5 27
 
0.4%
131 22
 
0.4%
72 21
 
0.4%
161 19
 
0.3%
Other values (246) 2661
44.4%
ValueCountFrequency (%)
0 2935
48.9%
1 102
 
1.7%
2 74
 
1.2%
3 54
 
0.9%
4 29
 
0.5%
ValueCountFrequency (%)
255 56
0.9%
254 6
 
0.1%
253 7
 
0.1%
252 4
 
0.1%
251 5
 
0.1%

453
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.55066667
Minimum0
Maximum255
Zeros2346
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:47.254075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median44.5
Q3173
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)173

Descriptive statistics

Standard deviation91.08739714
Coefficient of variation (CV)1.09020551
Kurtosis-1.382889522
Mean83.55066667
Median Absolute Deviation (MAD)44.5
Skewness0.4881638918
Sum501304
Variance8296.913919
MonotonicityNot monotonic
2025-03-21T22:39:47.315918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2346
39.1%
1 139
 
2.3%
2 105
 
1.8%
255 98
 
1.6%
3 76
 
1.3%
4 49
 
0.8%
5 33
 
0.5%
190 30
 
0.5%
211 30
 
0.5%
194 30
 
0.5%
Other values (246) 3064
51.1%
ValueCountFrequency (%)
0 2346
39.1%
1 139
 
2.3%
2 105
 
1.8%
3 76
 
1.3%
4 49
 
0.8%
ValueCountFrequency (%)
255 98
1.6%
254 18
 
0.3%
253 7
 
0.1%
252 4
 
0.1%
251 7
 
0.1%

454
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.97133333
Minimum0
Maximum255
Zeros2194
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:47.376741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median72
Q3187
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation93.24120959
Coefficient of variation (CV)1.00290279
Kurtosis-1.540740171
Mean92.97133333
Median Absolute Deviation (MAD)72
Skewness0.3150187135
Sum557828
Variance8693.923165
MonotonicityNot monotonic
2025-03-21T22:39:47.438761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2194
36.6%
255 102
 
1.7%
1 93
 
1.6%
2 76
 
1.3%
3 64
 
1.1%
187 33
 
0.5%
214 31
 
0.5%
218 31
 
0.5%
209 30
 
0.5%
227 29
 
0.5%
Other values (246) 3317
55.3%
ValueCountFrequency (%)
0 2194
36.6%
1 93
 
1.6%
2 76
 
1.3%
3 64
 
1.1%
4 24
 
0.4%
ValueCountFrequency (%)
255 102
1.7%
254 20
 
0.3%
253 10
 
0.2%
252 13
 
0.2%
251 6
 
0.1%

455
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.5455
Minimum0
Maximum255
Zeros1931
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:47.498755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median94
Q3187
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation91.65238107
Coefficient of variation (CV)0.9207084305
Kurtosis-1.530562456
Mean99.5455
Median Absolute Deviation (MAD)94
Skewness0.208998585
Sum597273
Variance8400.158956
MonotonicityNot monotonic
2025-03-21T22:39:47.560654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1931
32.2%
255 117
 
1.9%
1 53
 
0.9%
2 43
 
0.7%
218 37
 
0.6%
234 33
 
0.5%
224 33
 
0.5%
3 32
 
0.5%
209 31
 
0.5%
232 31
 
0.5%
Other values (246) 3659
61.0%
ValueCountFrequency (%)
0 1931
32.2%
1 53
 
0.9%
2 43
 
0.7%
3 32
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
255 117
1.9%
254 16
 
0.3%
253 15
 
0.2%
252 18
 
0.3%
251 7
 
0.1%

456
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.8236667
Minimum0
Maximum255
Zeros1310
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:47.621166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median123
Q3191
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation86.6797639
Coefficient of variation (CV)0.7682764305
Kurtosis-1.470005454
Mean112.8236667
Median Absolute Deviation (MAD)82
Skewness-0.04660701173
Sum676942
Variance7513.38147
MonotonicityNot monotonic
2025-03-21T22:39:47.687458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1310
 
21.8%
255 80
 
1.3%
1 42
 
0.7%
200 38
 
0.6%
198 35
 
0.6%
207 35
 
0.6%
218 35
 
0.6%
206 35
 
0.6%
233 34
 
0.6%
3 34
 
0.6%
Other values (246) 4322
72.0%
ValueCountFrequency (%)
0 1310
21.8%
1 42
 
0.7%
2 32
 
0.5%
3 34
 
0.6%
4 25
 
0.4%
ValueCountFrequency (%)
255 80
1.3%
254 12
 
0.2%
253 4
 
0.1%
252 11
 
0.2%
251 10
 
0.2%

457
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.0585
Minimum0
Maximum255
Zeros678
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:47.750803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171
median156
Q3206
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation80.42886222
Coefficient of variation (CV)0.58682141
Kurtosis-1.099010947
Mean137.0585
Median Absolute Deviation (MAD)60
Skewness-0.4349593304
Sum822351
Variance6468.801878
MonotonicityNot monotonic
2025-03-21T22:39:47.813690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 678
 
11.3%
255 116
 
1.9%
227 59
 
1.0%
214 47
 
0.8%
185 47
 
0.8%
220 46
 
0.8%
201 45
 
0.8%
202 44
 
0.7%
209 44
 
0.7%
211 43
 
0.7%
Other values (246) 4831
80.5%
ValueCountFrequency (%)
0 678
11.3%
1 38
 
0.6%
2 19
 
0.3%
3 19
 
0.3%
4 8
 
0.1%
ValueCountFrequency (%)
255 116
1.9%
254 19
 
0.3%
253 16
 
0.3%
252 10
 
0.2%
251 7
 
0.1%

458
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.9065
Minimum0
Maximum255
Zeros371
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:47.873446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1102
median170
Q3211
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation72.72540997
Coefficient of variation (CV)0.4819236413
Kurtosis-0.6378007167
Mean150.9065
Median Absolute Deviation (MAD)49
Skewness-0.6649122708
Sum905439
Variance5288.985255
MonotonicityNot monotonic
2025-03-21T22:39:47.933694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 371
 
6.2%
255 98
 
1.6%
218 56
 
0.9%
221 54
 
0.9%
216 51
 
0.9%
229 51
 
0.9%
204 50
 
0.8%
228 50
 
0.8%
225 50
 
0.8%
227 48
 
0.8%
Other values (246) 5121
85.4%
ValueCountFrequency (%)
0 371
6.2%
1 26
 
0.4%
2 11
 
0.2%
3 12
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 98
1.6%
254 22
 
0.4%
253 15
 
0.2%
252 9
 
0.1%
251 9
 
0.1%

459
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.0255
Minimum0
Maximum255
Zeros266
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:47.993437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q1112
median175
Q3212
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)100

Descriptive statistics

Standard deviation69.09644397
Coefficient of variation (CV)0.4428535334
Kurtosis-0.3772702722
Mean156.0255
Median Absolute Deviation (MAD)44
Skewness-0.7984321691
Sum936153
Variance4774.31857
MonotonicityNot monotonic
2025-03-21T22:39:48.056586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 266
 
4.4%
225 71
 
1.2%
230 64
 
1.1%
198 62
 
1.0%
212 61
 
1.0%
209 61
 
1.0%
222 58
 
1.0%
220 56
 
0.9%
215 56
 
0.9%
227 55
 
0.9%
Other values (246) 5190
86.5%
ValueCountFrequency (%)
0 266
4.4%
1 25
 
0.4%
2 15
 
0.2%
3 9
 
0.1%
4 12
 
0.2%
ValueCountFrequency (%)
255 49
0.8%
254 8
 
0.1%
253 8
 
0.1%
252 7
 
0.1%
251 7
 
0.1%

460
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.7405
Minimum0
Maximum255
Zeros284
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:48.118980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1110
median175
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation70.618692
Coefficient of variation (CV)0.4534382001
Kurtosis-0.4804556552
Mean155.7405
Median Absolute Deviation (MAD)45
Skewness-0.7553223006
Sum934443
Variance4986.99966
MonotonicityNot monotonic
2025-03-21T22:39:48.181350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 284
 
4.7%
255 70
 
1.2%
215 63
 
1.1%
228 63
 
1.1%
230 60
 
1.0%
211 59
 
1.0%
224 59
 
1.0%
216 58
 
1.0%
202 57
 
0.9%
218 56
 
0.9%
Other values (246) 5171
86.2%
ValueCountFrequency (%)
0 284
4.7%
1 20
 
0.3%
2 19
 
0.3%
3 5
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 70
1.2%
254 8
 
0.1%
253 6
 
0.1%
252 11
 
0.2%
251 5
 
0.1%

461
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.1288333
Minimum0
Maximum255
Zeros511
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:48.244210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q195
median169
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)115

Descriptive statistics

Standard deviation75.42212751
Coefficient of variation (CV)0.5126264227
Kurtosis-0.760747441
Mean147.1288333
Median Absolute Deviation (MAD)49
Skewness-0.6685388672
Sum882773
Variance5688.497318
MonotonicityNot monotonic
2025-03-21T22:39:48.446103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 511
 
8.5%
212 64
 
1.1%
210 62
 
1.0%
230 59
 
1.0%
209 56
 
0.9%
232 56
 
0.9%
211 56
 
0.9%
225 55
 
0.9%
206 54
 
0.9%
223 53
 
0.9%
Other values (246) 4974
82.9%
ValueCountFrequency (%)
0 511
8.5%
1 25
 
0.4%
2 21
 
0.4%
3 11
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 41
0.7%
254 12
 
0.2%
253 5
 
0.1%
252 5
 
0.1%
251 6
 
0.1%

462
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.1625
Minimum0
Maximum255
Zeros709
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:48.508367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q183
median166
Q3209
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation79.28139978
Coefficient of variation (CV)0.5576815248
Kurtosis-0.9629598527
Mean142.1625
Median Absolute Deviation (MAD)52
Skewness-0.6098007878
Sum852975
Variance6285.54035
MonotonicityNot monotonic
2025-03-21T22:39:48.570451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 709
 
11.8%
221 60
 
1.0%
212 53
 
0.9%
211 53
 
0.9%
230 53
 
0.9%
225 52
 
0.9%
203 52
 
0.9%
204 52
 
0.9%
226 52
 
0.9%
210 52
 
0.9%
Other values (246) 4812
80.2%
ValueCountFrequency (%)
0 709
11.8%
1 19
 
0.3%
2 18
 
0.3%
3 18
 
0.3%
4 8
 
0.1%
ValueCountFrequency (%)
255 39
0.7%
254 10
 
0.2%
253 4
 
0.1%
252 2
 
< 0.1%
251 5
 
0.1%

463
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.4241667
Minimum0
Maximum255
Zeros320
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:48.631178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median176
Q3214
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation72.00993557
Coefficient of variation (CV)0.4633123479
Kurtosis-0.5381200058
Mean155.4241667
Median Absolute Deviation (MAD)46
Skewness-0.743952556
Sum932545
Variance5185.430821
MonotonicityNot monotonic
2025-03-21T22:39:48.699023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 320
 
5.3%
255 90
 
1.5%
217 62
 
1.0%
226 60
 
1.0%
230 60
 
1.0%
211 57
 
0.9%
223 57
 
0.9%
225 57
 
0.9%
214 56
 
0.9%
213 55
 
0.9%
Other values (246) 5126
85.4%
ValueCountFrequency (%)
0 320
5.3%
1 19
 
0.3%
2 9
 
0.1%
3 7
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 90
1.5%
254 9
 
0.1%
253 9
 
0.1%
252 15
 
0.2%
251 8
 
0.1%

464
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.0941667
Minimum0
Maximum255
Zeros180
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:48.760997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.95
Q1119
median182
Q3215
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)96

Descriptive statistics

Standard deviation67.26879773
Coefficient of variation (CV)0.4149982637
Kurtosis-0.2695835353
Mean162.0941667
Median Absolute Deviation (MAD)41
Skewness-0.8440022022
Sum972565
Variance4525.091148
MonotonicityNot monotonic
2025-03-21T22:39:48.823511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
3.0%
213 67
 
1.1%
216 66
 
1.1%
228 66
 
1.1%
255 61
 
1.0%
206 61
 
1.0%
230 60
 
1.0%
229 60
 
1.0%
202 60
 
1.0%
205 59
 
1.0%
Other values (246) 5260
87.7%
ValueCountFrequency (%)
0 180
3.0%
1 12
 
0.2%
2 7
 
0.1%
3 6
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 61
1.0%
254 7
 
0.1%
253 9
 
0.1%
252 11
 
0.2%
251 9
 
0.1%

465
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.6743333
Minimum0
Maximum255
Zeros153
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:48.885117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q1118
median181
Q3214.25
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)96.25

Descriptive statistics

Standard deviation66.63814259
Coefficient of variation (CV)0.41217515
Kurtosis-0.3264754019
Mean161.6743333
Median Absolute Deviation (MAD)41
Skewness-0.8147553485
Sum970046
Variance4440.642048
MonotonicityNot monotonic
2025-03-21T22:39:48.949118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153
 
2.5%
216 66
 
1.1%
214 63
 
1.1%
213 62
 
1.0%
211 62
 
1.0%
223 61
 
1.0%
208 61
 
1.0%
229 60
 
1.0%
222 60
 
1.0%
207 59
 
1.0%
Other values (246) 5293
88.2%
ValueCountFrequency (%)
0 153
2.5%
1 12
 
0.2%
2 6
 
0.1%
3 8
 
0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
255 58
1.0%
254 10
 
0.2%
253 11
 
0.2%
252 11
 
0.2%
251 14
 
0.2%

466
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.1323333
Minimum0
Maximum255
Zeros265
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:49.015388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1107
median178
Q3215
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation71.46530186
Coefficient of variation (CV)0.4548096521
Kurtosis-0.5633636256
Mean157.1323333
Median Absolute Deviation (MAD)45
Skewness-0.7190674064
Sum942794
Variance5107.289369
MonotonicityNot monotonic
2025-03-21T22:39:49.079714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 265
 
4.4%
255 113
 
1.9%
217 64
 
1.1%
220 63
 
1.1%
204 60
 
1.0%
230 59
 
1.0%
216 59
 
1.0%
213 58
 
1.0%
219 58
 
1.0%
210 54
 
0.9%
Other values (246) 5147
85.8%
ValueCountFrequency (%)
0 265
4.4%
1 9
 
0.1%
2 10
 
0.2%
3 5
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
255 113
1.9%
254 25
 
0.4%
253 17
 
0.3%
252 15
 
0.2%
251 14
 
0.2%

467
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.6385
Minimum0
Maximum255
Zeros666
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:49.141887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q170
median160
Q3209
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)139

Descriptive statistics

Standard deviation81.26791431
Coefficient of variation (CV)0.5861857587
Kurtosis-1.141780708
Mean138.6385
Median Absolute Deviation (MAD)59
Skewness-0.4509370198
Sum831831
Variance6604.473897
MonotonicityNot monotonic
2025-03-21T22:39:49.207997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 666
 
11.1%
255 101
 
1.7%
219 61
 
1.0%
213 60
 
1.0%
216 56
 
0.9%
202 52
 
0.9%
220 47
 
0.8%
227 45
 
0.8%
208 45
 
0.8%
205 45
 
0.8%
Other values (246) 4822
80.4%
ValueCountFrequency (%)
0 666
11.1%
1 20
 
0.3%
2 16
 
0.3%
3 18
 
0.3%
4 7
 
0.1%
ValueCountFrequency (%)
255 101
1.7%
254 15
 
0.2%
253 8
 
0.1%
252 14
 
0.2%
251 15
 
0.2%

468
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.8948333
Minimum0
Maximum255
Zeros1258
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:49.269654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median140
Q3206
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation89.01268439
Coefficient of variation (CV)0.7242996469
Kurtosis-1.482248359
Mean122.8948333
Median Absolute Deviation (MAD)76
Skewness-0.2009780991
Sum737369
Variance7923.257983
MonotonicityNot monotonic
2025-03-21T22:39:49.333251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1258
 
21.0%
255 100
 
1.7%
213 52
 
0.9%
212 49
 
0.8%
208 46
 
0.8%
206 46
 
0.8%
214 42
 
0.7%
219 42
 
0.7%
205 41
 
0.7%
220 41
 
0.7%
Other values (246) 4283
71.4%
ValueCountFrequency (%)
0 1258
21.0%
1 19
 
0.3%
2 19
 
0.3%
3 16
 
0.3%
4 21
 
0.4%
ValueCountFrequency (%)
255 100
1.7%
254 12
 
0.2%
253 12
 
0.2%
252 9
 
0.1%
251 4
 
0.1%

469
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.24
Minimum0
Maximum255
Zeros1703
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:49.395350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median137
Q3209
95-th percentile245
Maximum255
Range255
Interquartile range (IQR)209

Descriptive statistics

Standard deviation95.02274616
Coefficient of variation (CV)0.8036429817
Kurtosis-1.625781347
Mean118.24
Median Absolute Deviation (MAD)88
Skewness-0.1182485024
Sum709440
Variance9029.322287
MonotonicityNot monotonic
2025-03-21T22:39:49.458838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1703
28.4%
255 132
 
2.2%
215 48
 
0.8%
212 46
 
0.8%
213 45
 
0.8%
219 45
 
0.8%
232 44
 
0.7%
220 44
 
0.7%
221 43
 
0.7%
211 42
 
0.7%
Other values (246) 3808
63.5%
ValueCountFrequency (%)
0 1703
28.4%
1 34
 
0.6%
2 33
 
0.5%
3 27
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
255 132
2.2%
254 21
 
0.4%
253 12
 
0.2%
252 17
 
0.3%
251 18
 
0.3%

470
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.1836667
Minimum0
Maximum255
Zeros1797
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:49.521774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3204
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation94.95046006
Coefficient of variation (CV)0.8539964808
Kurtosis-1.649233858
Mean111.1836667
Median Absolute Deviation (MAD)98
Skewness-0.01432495842
Sum667102
Variance9015.589865
MonotonicityNot monotonic
2025-03-21T22:39:49.584471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1797
29.9%
255 106
 
1.8%
1 97
 
1.6%
2 74
 
1.2%
3 46
 
0.8%
206 46
 
0.8%
213 45
 
0.8%
222 44
 
0.7%
226 44
 
0.7%
230 41
 
0.7%
Other values (246) 3660
61.0%
ValueCountFrequency (%)
0 1797
29.9%
1 97
 
1.6%
2 74
 
1.2%
3 46
 
0.8%
4 20
 
0.3%
ValueCountFrequency (%)
255 106
1.8%
254 25
 
0.4%
253 16
 
0.3%
252 9
 
0.1%
251 13
 
0.2%

471
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.12266667
Minimum0
Maximum255
Zeros2119
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:49.801357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median85
Q3190
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation92.64958325
Coefficient of variation (CV)0.9638682162
Kurtosis-1.573226569
Mean96.12266667
Median Absolute Deviation (MAD)85
Skewness0.2482211171
Sum576736
Variance8583.945277
MonotonicityNot monotonic
2025-03-21T22:39:49.861583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2119
35.3%
1 94
 
1.6%
255 76
 
1.3%
2 61
 
1.0%
221 36
 
0.6%
3 35
 
0.6%
212 35
 
0.6%
210 34
 
0.6%
218 33
 
0.5%
211 33
 
0.5%
Other values (246) 3444
57.4%
ValueCountFrequency (%)
0 2119
35.3%
1 94
 
1.6%
2 61
 
1.0%
3 35
 
0.6%
4 23
 
0.4%
ValueCountFrequency (%)
255 76
1.3%
254 8
 
0.1%
253 17
 
0.3%
252 7
 
0.1%
251 4
 
0.1%

472
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.99016667
Minimum0
Maximum255
Zeros2921
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:49.921554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q3167
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation89.13885437
Coefficient of variation (CV)1.188673907
Kurtosis-1.260278174
Mean74.99016667
Median Absolute Deviation (MAD)4.5
Skewness0.635594539
Sum449941
Variance7945.735359
MonotonicityNot monotonic
2025-03-21T22:39:49.983885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2921
48.7%
1 32
 
0.5%
213 31
 
0.5%
214 30
 
0.5%
182 29
 
0.5%
222 29
 
0.5%
255 29
 
0.5%
208 28
 
0.5%
199 28
 
0.5%
210 27
 
0.4%
Other values (246) 2816
46.9%
ValueCountFrequency (%)
0 2921
48.7%
1 32
 
0.5%
2 22
 
0.4%
3 12
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 29
0.5%
254 10
 
0.2%
253 7
 
0.1%
252 5
 
0.1%
251 3
 
0.1%

473
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5475
Minimum0
Maximum255
Zeros3625
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.045681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3142
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)142

Descriptive statistics

Standard deviation86.43739149
Coefficient of variation (CV)1.427596375
Kurtosis-0.8138367322
Mean60.5475
Median Absolute Deviation (MAD)0
Skewness0.9491220613
Sum363285
Variance7471.422648
MonotonicityNot monotonic
2025-03-21T22:39:50.113512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3625
60.4%
255 31
 
0.5%
206 30
 
0.5%
201 29
 
0.5%
200 28
 
0.5%
204 27
 
0.4%
1 27
 
0.4%
208 26
 
0.4%
195 25
 
0.4%
219 24
 
0.4%
Other values (245) 2128
35.5%
ValueCountFrequency (%)
0 3625
60.4%
1 27
 
0.4%
2 12
 
0.2%
3 14
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 31
0.5%
254 4
 
0.1%
253 1
 
< 0.1%
252 6
 
0.1%
251 1
 
< 0.1%

474
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.057
Minimum0
Maximum255
Zeros3949
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.178020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q393
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)93

Descriptive statistics

Standard deviation85.22757598
Coefficient of variation (CV)1.637197226
Kurtosis0.01089814767
Mean52.057
Median Absolute Deviation (MAD)0
Skewness1.289459328
Sum312342
Variance7263.739708
MonotonicityNot monotonic
2025-03-21T22:39:50.239840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3949
65.8%
255 125
 
2.1%
1 24
 
0.4%
230 23
 
0.4%
202 20
 
0.3%
228 20
 
0.3%
218 19
 
0.3%
2 19
 
0.3%
224 17
 
0.3%
214 17
 
0.3%
Other values (246) 1767
29.4%
ValueCountFrequency (%)
0 3949
65.8%
1 24
 
0.4%
2 19
 
0.3%
3 9
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 125
2.1%
254 14
 
0.2%
253 11
 
0.2%
252 9
 
0.1%
251 10
 
0.2%

475
Real number (ℝ)

Zeros 

Distinct203
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.856
Minimum0
Maximum250
Zeros4683
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.299363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile106
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.99714487
Coefficient of variation (CV)2.490384011
Kurtosis8.026706723
Mean14.856
Median Absolute Deviation (MAD)0
Skewness2.85726349
Sum89136
Variance1368.788729
MonotonicityNot monotonic
2025-03-21T22:39:50.360621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4683
78.0%
1 44
 
0.7%
2 27
 
0.4%
3 18
 
0.3%
35 18
 
0.3%
18 17
 
0.3%
20 16
 
0.3%
45 16
 
0.3%
102 16
 
0.3%
53 15
 
0.2%
Other values (193) 1130
 
18.8%
ValueCountFrequency (%)
0 4683
78.0%
1 44
 
0.7%
2 27
 
0.4%
3 18
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
250 1
< 0.1%
240 1
< 0.1%
234 1
< 0.1%
227 1
< 0.1%
219 1
< 0.1%

476
Real number (ℝ)

Zeros 

Distinct186
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.425666667
Minimum0
Maximum255
Zeros4940
Zeros (%)82.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.421863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile76
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.97222301
Coefficient of variation (CV)3.073758497
Kurtosis14.82117036
Mean9.425666667
Median Absolute Deviation (MAD)0
Skewness3.727420335
Sum56554
Variance839.3897062
MonotonicityNot monotonic
2025-03-21T22:39:50.483597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4940
82.3%
1 100
 
1.7%
2 57
 
0.9%
3 31
 
0.5%
4 19
 
0.3%
7 15
 
0.2%
24 13
 
0.2%
15 13
 
0.2%
39 12
 
0.2%
20 12
 
0.2%
Other values (176) 788
 
13.1%
ValueCountFrequency (%)
0 4940
82.3%
1 100
 
1.7%
2 57
 
0.9%
3 31
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
212 1
< 0.1%
207 2
< 0.1%
203 1
< 0.1%
202 1
< 0.1%

477
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.53433333
Minimum0
Maximum255
Zeros4557
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.544364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile183
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.90180296
Coefficient of variation (CV)2.30676878
Kurtosis4.3485449
Mean25.53433333
Median Absolute Deviation (MAD)0
Skewness2.343322451
Sum153206
Variance3469.422392
MonotonicityNot monotonic
2025-03-21T22:39:50.606409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4557
75.9%
1 53
 
0.9%
2 41
 
0.7%
255 32
 
0.5%
3 25
 
0.4%
4 16
 
0.3%
6 14
 
0.2%
5 14
 
0.2%
166 14
 
0.2%
126 13
 
0.2%
Other values (243) 1221
 
20.3%
ValueCountFrequency (%)
0 4557
75.9%
1 53
 
0.9%
2 41
 
0.7%
3 25
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
255 32
0.5%
252 4
 
0.1%
251 1
 
< 0.1%
250 3
 
0.1%
249 1
 
< 0.1%

478
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.016
Minimum0
Maximum255
Zeros4299
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.672024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile191
Maximum255
Range255
Interquartile range (IQR)8

Descriptive statistics

Standard deviation63.51519325
Coefficient of variation (CV)2.047820262
Kurtosis2.474608388
Mean31.016
Median Absolute Deviation (MAD)0
Skewness1.956717841
Sum186096
Variance4034.179774
MonotonicityNot monotonic
2025-03-21T22:39:50.733672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4299
71.7%
1 65
 
1.1%
2 39
 
0.7%
3 31
 
0.5%
4 25
 
0.4%
255 18
 
0.3%
56 16
 
0.3%
5 16
 
0.3%
213 14
 
0.2%
6 13
 
0.2%
Other values (241) 1464
 
24.4%
ValueCountFrequency (%)
0 4299
71.7%
1 65
 
1.1%
2 39
 
0.7%
3 31
 
0.5%
4 25
 
0.4%
ValueCountFrequency (%)
255 18
0.3%
253 2
 
< 0.1%
251 2
 
< 0.1%
249 2
 
< 0.1%
248 1
 
< 0.1%

479
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.439
Minimum0
Maximum255
Zeros3772
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.793205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q371
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)71

Descriptive statistics

Standard deviation72.47409672
Coefficient of variation (CV)1.668410799
Kurtosis0.6859601836
Mean43.439
Median Absolute Deviation (MAD)0
Skewness1.458284024
Sum260634
Variance5252.494695
MonotonicityNot monotonic
2025-03-21T22:39:50.853870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3772
62.9%
1 71
 
1.2%
2 32
 
0.5%
3 28
 
0.5%
4 23
 
0.4%
255 23
 
0.4%
5 20
 
0.3%
180 17
 
0.3%
190 17
 
0.3%
144 16
 
0.3%
Other values (245) 1981
33.0%
ValueCountFrequency (%)
0 3772
62.9%
1 71
 
1.2%
2 32
 
0.5%
3 28
 
0.5%
4 23
 
0.4%
ValueCountFrequency (%)
255 23
0.4%
254 3
 
0.1%
253 1
 
< 0.1%
252 6
 
0.1%
251 1
 
< 0.1%

480
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.57433333
Minimum0
Maximum255
Zeros2771
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:50.913320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q3139
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)139

Descriptive statistics

Standard deviation83.35186499
Coefficient of variation (CV)1.233484089
Kurtosis-0.8710567219
Mean67.57433333
Median Absolute Deviation (MAD)6
Skewness0.8076955423
Sum405446
Variance6947.533397
MonotonicityNot monotonic
2025-03-21T22:39:51.124022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2771
46.2%
1 83
 
1.4%
255 55
 
0.9%
3 44
 
0.7%
2 43
 
0.7%
4 30
 
0.5%
201 28
 
0.5%
196 23
 
0.4%
5 23
 
0.4%
219 22
 
0.4%
Other values (246) 2878
48.0%
ValueCountFrequency (%)
0 2771
46.2%
1 83
 
1.4%
2 43
 
0.7%
3 44
 
0.7%
4 30
 
0.5%
ValueCountFrequency (%)
255 55
0.9%
254 8
 
0.1%
253 13
 
0.2%
252 6
 
0.1%
251 2
 
< 0.1%

481
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.25083333
Minimum0
Maximum255
Zeros2206
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:51.185170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median58
Q3180
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)180

Descriptive statistics

Standard deviation91.21399151
Coefficient of variation (CV)1.045422583
Kurtosis-1.441320929
Mean87.25083333
Median Absolute Deviation (MAD)58
Skewness0.4193920342
Sum523505
Variance8319.992248
MonotonicityNot monotonic
2025-03-21T22:39:51.247804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2206
36.8%
2 118
 
2.0%
1 112
 
1.9%
255 95
 
1.6%
3 63
 
1.1%
4 47
 
0.8%
201 31
 
0.5%
207 31
 
0.5%
5 31
 
0.5%
193 31
 
0.5%
Other values (246) 3235
53.9%
ValueCountFrequency (%)
0 2206
36.8%
1 112
 
1.9%
2 118
 
2.0%
3 63
 
1.1%
4 47
 
0.8%
ValueCountFrequency (%)
255 95
1.6%
254 18
 
0.3%
253 13
 
0.2%
252 5
 
0.1%
251 5
 
0.1%

482
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.886
Minimum0
Maximum255
Zeros2060
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:51.308128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84
Q3189
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation93.39375284
Coefficient of variation (CV)0.9639550899
Kurtosis-1.559418914
Mean96.886
Median Absolute Deviation (MAD)84
Skewness0.2558894258
Sum581316
Variance8722.39307
MonotonicityNot monotonic
2025-03-21T22:39:51.368184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2060
34.3%
255 124
 
2.1%
1 91
 
1.5%
2 73
 
1.2%
3 37
 
0.6%
208 32
 
0.5%
216 31
 
0.5%
199 30
 
0.5%
219 30
 
0.5%
189 30
 
0.5%
Other values (246) 3462
57.7%
ValueCountFrequency (%)
0 2060
34.3%
1 91
 
1.5%
2 73
 
1.2%
3 37
 
0.6%
4 28
 
0.5%
ValueCountFrequency (%)
255 124
2.1%
254 21
 
0.4%
253 14
 
0.2%
252 13
 
0.2%
251 11
 
0.2%

483
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.7091667
Minimum0
Maximum255
Zeros1768
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:51.428073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median98
Q3190
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation90.94333601
Coefficient of variation (CV)0.8854451746
Kurtosis-1.528925021
Mean102.7091667
Median Absolute Deviation (MAD)98
Skewness0.1630569427
Sum616255
Variance8270.690364
MonotonicityNot monotonic
2025-03-21T22:39:51.488824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1768
29.5%
255 112
 
1.9%
1 52
 
0.9%
206 36
 
0.6%
213 35
 
0.6%
2 35
 
0.6%
201 34
 
0.6%
217 34
 
0.6%
210 33
 
0.5%
212 32
 
0.5%
Other values (246) 3829
63.8%
ValueCountFrequency (%)
0 1768
29.5%
1 52
 
0.9%
2 35
 
0.6%
3 22
 
0.4%
4 14
 
0.2%
ValueCountFrequency (%)
255 112
1.9%
254 18
 
0.3%
253 13
 
0.2%
252 12
 
0.2%
251 13
 
0.2%

484
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.245
Minimum0
Maximum255
Zeros1180
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:51.550246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median126
Q3196
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation85.90728909
Coefficient of variation (CV)0.7327160142
Kurtosis-1.432501674
Mean117.245
Median Absolute Deviation (MAD)79
Skewness-0.09980473124
Sum703470
Variance7380.062319
MonotonicityNot monotonic
2025-03-21T22:39:51.612443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1180
 
19.7%
255 88
 
1.5%
228 41
 
0.7%
196 38
 
0.6%
200 37
 
0.6%
208 37
 
0.6%
213 37
 
0.6%
216 37
 
0.6%
202 36
 
0.6%
170 35
 
0.6%
Other values (246) 4434
73.9%
ValueCountFrequency (%)
0 1180
19.7%
1 34
 
0.6%
2 21
 
0.4%
3 19
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 88
1.5%
254 11
 
0.2%
253 9
 
0.1%
252 10
 
0.2%
251 7
 
0.1%

485
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.987
Minimum0
Maximum255
Zeros610
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:51.676442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181.75
median161
Q3208
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation78.83173158
Coefficient of variation (CV)0.5552038679
Kurtosis-0.9819432122
Mean141.987
Median Absolute Deviation (MAD)56
Skewness-0.5063507044
Sum851922
Variance6214.441905
MonotonicityNot monotonic
2025-03-21T22:39:51.740645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 610
 
10.2%
255 141
 
2.4%
220 56
 
0.9%
207 56
 
0.9%
210 54
 
0.9%
219 47
 
0.8%
206 47
 
0.8%
225 46
 
0.8%
221 46
 
0.8%
226 46
 
0.8%
Other values (246) 4851
80.8%
ValueCountFrequency (%)
0 610
10.2%
1 16
 
0.3%
2 13
 
0.2%
3 15
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 141
2.4%
254 21
 
0.4%
253 17
 
0.3%
252 11
 
0.2%
251 11
 
0.2%

486
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.4755
Minimum0
Maximum255
Zeros276
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:51.803245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q1106
median173
Q3212
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation70.31020306
Coefficient of variation (CV)0.455154397
Kurtosis-0.5317225813
Mean154.4755
Median Absolute Deviation (MAD)46
Skewness-0.7098112934
Sum926853
Variance4943.524654
MonotonicityNot monotonic
2025-03-21T22:39:51.865069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 276
 
4.6%
255 88
 
1.5%
216 61
 
1.0%
227 57
 
0.9%
222 56
 
0.9%
223 54
 
0.9%
206 52
 
0.9%
213 51
 
0.9%
225 50
 
0.8%
215 50
 
0.8%
Other values (246) 5205
86.8%
ValueCountFrequency (%)
0 276
4.6%
1 19
 
0.3%
2 11
 
0.2%
3 6
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 88
1.5%
254 16
 
0.3%
253 16
 
0.3%
252 1
 
< 0.1%
251 10
 
0.2%

487
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.1106667
Minimum0
Maximum255
Zeros231
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:51.926353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.95
Q1115
median178
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation67.85392972
Coefficient of variation (CV)0.4291546621
Kurtosis-0.3361666012
Mean158.1106667
Median Absolute Deviation (MAD)42
Skewness-0.8107500176
Sum948664
Variance4604.155779
MonotonicityNot monotonic
2025-03-21T22:39:51.995232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 231
 
3.9%
209 64
 
1.1%
225 63
 
1.1%
216 63
 
1.1%
228 59
 
1.0%
199 57
 
0.9%
224 57
 
0.9%
223 56
 
0.9%
226 56
 
0.9%
208 55
 
0.9%
Other values (246) 5239
87.3%
ValueCountFrequency (%)
0 231
3.9%
1 13
 
0.2%
2 16
 
0.3%
3 6
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 46
0.8%
254 10
 
0.2%
253 5
 
0.1%
252 8
 
0.1%
251 5
 
0.1%

488
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.8941667
Minimum0
Maximum255
Zeros255
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:52.061477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q1110
median177
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation69.79986845
Coefficient of variation (CV)0.4448850454
Kurtosis-0.4687930611
Mean156.8941667
Median Absolute Deviation (MAD)44
Skewness-0.7614149686
Sum941365
Variance4872.021636
MonotonicityNot monotonic
2025-03-21T22:39:52.125134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 255
 
4.2%
216 66
 
1.1%
255 64
 
1.1%
230 62
 
1.0%
215 62
 
1.0%
213 59
 
1.0%
219 57
 
0.9%
228 57
 
0.9%
207 57
 
0.9%
217 56
 
0.9%
Other values (246) 5205
86.8%
ValueCountFrequency (%)
0 255
4.2%
1 18
 
0.3%
2 19
 
0.3%
3 7
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 64
1.1%
254 6
 
0.1%
253 10
 
0.2%
252 8
 
0.1%
251 5
 
0.1%

489
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.6288333
Minimum0
Maximum255
Zeros483
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:52.186369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q193
median169
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation75.23287668
Coefficient of variation (CV)0.5096082857
Kurtosis-0.7851314094
Mean147.6288333
Median Absolute Deviation (MAD)50
Skewness-0.6546001666
Sum885773
Variance5659.985733
MonotonicityNot monotonic
2025-03-21T22:39:52.248235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 483
 
8.1%
215 59
 
1.0%
227 59
 
1.0%
223 54
 
0.9%
220 54
 
0.9%
212 54
 
0.9%
219 53
 
0.9%
210 53
 
0.9%
224 53
 
0.9%
213 53
 
0.9%
Other values (246) 5025
83.8%
ValueCountFrequency (%)
0 483
8.1%
1 20
 
0.3%
2 5
 
0.1%
3 8
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 45
0.8%
254 12
 
0.2%
253 6
 
0.1%
252 7
 
0.1%
251 4
 
0.1%

490
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.3211667
Minimum0
Maximum255
Zeros663
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:52.308045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q185
median168
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)124

Descriptive statistics

Standard deviation78.60791236
Coefficient of variation (CV)0.5484738521
Kurtosis-0.9328368508
Mean143.3211667
Median Absolute Deviation (MAD)52
Skewness-0.6212854616
Sum859927
Variance6179.203886
MonotonicityNot monotonic
2025-03-21T22:39:52.371144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 663
 
11.1%
205 62
 
1.0%
221 57
 
0.9%
213 57
 
0.9%
207 57
 
0.9%
216 55
 
0.9%
224 54
 
0.9%
227 52
 
0.9%
212 51
 
0.9%
225 51
 
0.9%
Other values (246) 4841
80.7%
ValueCountFrequency (%)
0 663
11.1%
1 21
 
0.4%
2 21
 
0.4%
3 16
 
0.3%
4 8
 
0.1%
ValueCountFrequency (%)
255 32
0.5%
254 9
 
0.1%
253 3
 
0.1%
252 8
 
0.1%
251 3
 
0.1%

491
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.248
Minimum0
Maximum255
Zeros293
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:52.581855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1107
median176
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation71.37828082
Coefficient of variation (CV)0.4597694065
Kurtosis-0.5689875155
Mean155.248
Median Absolute Deviation (MAD)46
Skewness-0.7288235797
Sum931488
Variance5094.858972
MonotonicityNot monotonic
2025-03-21T22:39:52.644204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 293
 
4.9%
255 68
 
1.1%
224 67
 
1.1%
214 63
 
1.1%
228 63
 
1.1%
208 62
 
1.0%
211 61
 
1.0%
227 61
 
1.0%
225 59
 
1.0%
220 59
 
1.0%
Other values (246) 5144
85.7%
ValueCountFrequency (%)
0 293
4.9%
1 8
 
0.1%
2 6
 
0.1%
3 9
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 68
1.1%
254 9
 
0.1%
253 19
 
0.3%
252 7
 
0.1%
251 6
 
0.1%

492
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.6956667
Minimum0
Maximum255
Zeros145
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:52.707428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q1119
median183
Q3216
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)97

Descriptive statistics

Standard deviation66.29845872
Coefficient of variation (CV)0.4074998436
Kurtosis-0.3117826897
Mean162.6956667
Median Absolute Deviation (MAD)41
Skewness-0.8239800481
Sum976174
Variance4395.485629
MonotonicityNot monotonic
2025-03-21T22:39:52.769868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145
 
2.4%
230 70
 
1.2%
215 67
 
1.1%
226 66
 
1.1%
224 65
 
1.1%
211 64
 
1.1%
220 64
 
1.1%
216 62
 
1.0%
218 61
 
1.0%
209 59
 
1.0%
Other values (245) 5277
87.9%
ValueCountFrequency (%)
0 145
2.4%
1 9
 
0.1%
2 9
 
0.1%
3 3
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
255 50
0.8%
254 18
 
0.3%
253 10
 
0.2%
252 12
 
0.2%
251 8
 
0.1%

493
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.6663333
Minimum0
Maximum255
Zeros137
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:52.831699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q1116
median181
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation66.42749758
Coefficient of variation (CV)0.4134500129
Kurtosis-0.3932888337
Mean160.6663333
Median Absolute Deviation (MAD)41
Skewness-0.7823752652
Sum963998
Variance4412.612435
MonotonicityNot monotonic
2025-03-21T22:39:52.893619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137
 
2.3%
207 68
 
1.1%
228 64
 
1.1%
212 63
 
1.1%
222 62
 
1.0%
217 59
 
1.0%
197 59
 
1.0%
227 58
 
1.0%
230 58
 
1.0%
231 58
 
1.0%
Other values (246) 5314
88.6%
ValueCountFrequency (%)
0 137
2.3%
1 7
 
0.1%
2 3
 
0.1%
3 10
 
0.2%
4 3
 
0.1%
ValueCountFrequency (%)
255 56
0.9%
254 12
 
0.2%
253 11
 
0.2%
252 6
 
0.1%
251 8
 
0.1%

494
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.1533333
Minimum0
Maximum255
Zeros288
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:52.954767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1103.75
median174
Q3213
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)109.25

Descriptive statistics

Standard deviation71.8232524
Coefficient of variation (CV)0.465920852
Kurtosis-0.6423505033
Mean154.1533333
Median Absolute Deviation (MAD)48
Skewness-0.6730573781
Sum924920
Variance5158.579585
MonotonicityNot monotonic
2025-03-21T22:39:53.017304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 288
 
4.8%
255 106
 
1.8%
230 59
 
1.0%
210 58
 
1.0%
221 58
 
1.0%
217 55
 
0.9%
206 55
 
0.9%
215 54
 
0.9%
218 53
 
0.9%
224 53
 
0.9%
Other values (246) 5161
86.0%
ValueCountFrequency (%)
0 288
4.8%
1 6
 
0.1%
2 5
 
0.1%
3 8
 
0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
255 106
1.8%
254 16
 
0.3%
253 15
 
0.2%
252 8
 
0.1%
251 10
 
0.2%

495
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.3476667
Minimum0
Maximum255
Zeros745
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:53.080326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median155
Q3207
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation82.08601473
Coefficient of variation (CV)0.6064826735
Kurtosis-1.20657335
Mean135.3476667
Median Absolute Deviation (MAD)62
Skewness-0.4030475471
Sum812086
Variance6738.113814
MonotonicityNot monotonic
2025-03-21T22:39:53.141803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 745
 
12.4%
255 90
 
1.5%
217 52
 
0.9%
221 51
 
0.9%
200 50
 
0.8%
219 49
 
0.8%
192 45
 
0.8%
211 45
 
0.8%
215 44
 
0.7%
220 44
 
0.7%
Other values (246) 4785
79.8%
ValueCountFrequency (%)
0 745
12.4%
1 16
 
0.3%
2 10
 
0.2%
3 13
 
0.2%
4 15
 
0.2%
ValueCountFrequency (%)
255 90
1.5%
254 22
 
0.4%
253 9
 
0.1%
252 10
 
0.2%
251 13
 
0.2%

496
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.3518333
Minimum0
Maximum255
Zeros1307
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:53.201074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median129
Q3201
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation88.84129957
Coefficient of variation (CV)0.7570508023
Kurtosis-1.517761264
Mean117.3518333
Median Absolute Deviation (MAD)84
Skewness-0.1024557027
Sum704111
Variance7892.776509
MonotonicityNot monotonic
2025-03-21T22:39:53.265020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1307
 
21.8%
255 76
 
1.3%
210 47
 
0.8%
225 43
 
0.7%
230 40
 
0.7%
212 39
 
0.7%
221 38
 
0.6%
216 38
 
0.6%
215 38
 
0.6%
214 38
 
0.6%
Other values (246) 4296
71.6%
ValueCountFrequency (%)
0 1307
21.8%
1 29
 
0.5%
2 26
 
0.4%
3 16
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 76
1.3%
254 13
 
0.2%
253 14
 
0.2%
252 9
 
0.1%
251 5
 
0.1%

497
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.2603333
Minimum0
Maximum255
Zeros1766
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:53.327230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median126
Q3204
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation94.61096712
Coefficient of variation (CV)0.8353407087
Kurtosis-1.638832453
Mean113.2603333
Median Absolute Deviation (MAD)96
Skewness-0.03475594791
Sum679562
Variance8951.235099
MonotonicityNot monotonic
2025-03-21T22:39:53.390660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1766
29.4%
255 150
 
2.5%
202 48
 
0.8%
227 45
 
0.8%
223 44
 
0.7%
216 44
 
0.7%
228 43
 
0.7%
2 42
 
0.7%
226 41
 
0.7%
214 41
 
0.7%
Other values (246) 3736
62.3%
ValueCountFrequency (%)
0 1766
29.4%
1 38
 
0.6%
2 42
 
0.7%
3 16
 
0.3%
4 21
 
0.4%
ValueCountFrequency (%)
255 150
2.5%
254 11
 
0.2%
253 12
 
0.2%
252 11
 
0.2%
251 7
 
0.1%

498
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.1556667
Minimum0
Maximum255
Zeros1849
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:53.451967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3200
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation94.68016419
Coefficient of variation (CV)0.883575896
Kurtosis-1.647864877
Mean107.1556667
Median Absolute Deviation (MAD)106
Skewness0.05852844297
Sum642934
Variance8964.33349
MonotonicityNot monotonic
2025-03-21T22:39:53.512185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1849
30.8%
255 108
 
1.8%
2 80
 
1.3%
1 80
 
1.3%
3 63
 
1.1%
220 46
 
0.8%
221 42
 
0.7%
214 41
 
0.7%
216 38
 
0.6%
193 38
 
0.6%
Other values (245) 3615
60.2%
ValueCountFrequency (%)
0 1849
30.8%
1 80
 
1.3%
2 80
 
1.3%
3 63
 
1.1%
4 27
 
0.4%
ValueCountFrequency (%)
255 108
1.8%
254 16
 
0.3%
253 18
 
0.3%
252 5
 
0.1%
251 10
 
0.2%

499
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.76466667
Minimum0
Maximum255
Zeros2138
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:53.572266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3187
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation91.81520366
Coefficient of variation (CV)0.9792089806
Kurtosis-1.541306919
Mean93.76466667
Median Absolute Deviation (MAD)80
Skewness0.2876818937
Sum562588
Variance8430.031623
MonotonicityNot monotonic
2025-03-21T22:39:53.632915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2138
35.6%
1 88
 
1.5%
255 66
 
1.1%
2 62
 
1.0%
3 45
 
0.8%
209 39
 
0.7%
218 34
 
0.6%
214 33
 
0.5%
185 32
 
0.5%
206 32
 
0.5%
Other values (245) 3431
57.2%
ValueCountFrequency (%)
0 2138
35.6%
1 88
 
1.5%
2 62
 
1.0%
3 45
 
0.8%
4 27
 
0.4%
ValueCountFrequency (%)
255 66
1.1%
254 19
 
0.3%
253 15
 
0.2%
252 6
 
0.1%
251 3
 
0.1%

500
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.187
Minimum0
Maximum255
Zeros2909
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:53.839673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q3162
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation88.04260871
Coefficient of variation (CV)1.202981523
Kurtosis-1.187032865
Mean73.187
Median Absolute Deviation (MAD)5.5
Skewness0.677526644
Sum439122
Variance7751.500948
MonotonicityNot monotonic
2025-03-21T22:39:53.902192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2909
48.5%
1 40
 
0.7%
211 31
 
0.5%
214 29
 
0.5%
202 29
 
0.5%
207 29
 
0.5%
217 28
 
0.5%
205 26
 
0.4%
194 26
 
0.4%
255 25
 
0.4%
Other values (246) 2828
47.1%
ValueCountFrequency (%)
0 2909
48.5%
1 40
 
0.7%
2 20
 
0.3%
3 14
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 25
0.4%
254 9
 
0.1%
253 8
 
0.1%
252 8
 
0.1%
251 5
 
0.1%

501
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.9345
Minimum0
Maximum255
Zeros3617
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:53.966058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3129
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation84.3770375
Coefficient of variation (CV)1.45642126
Kurtosis-0.6473188685
Mean57.9345
Median Absolute Deviation (MAD)0
Skewness1.019113238
Sum347607
Variance7119.484457
MonotonicityNot monotonic
2025-03-21T22:39:54.031812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3617
60.3%
255 29
 
0.5%
209 28
 
0.5%
210 26
 
0.4%
212 25
 
0.4%
203 24
 
0.4%
187 24
 
0.4%
219 22
 
0.4%
195 22
 
0.4%
204 22
 
0.4%
Other values (246) 2161
36.0%
ValueCountFrequency (%)
0 3617
60.3%
1 20
 
0.3%
2 9
 
0.1%
3 15
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 29
0.5%
254 2
 
< 0.1%
253 3
 
0.1%
252 3
 
0.1%
251 5
 
0.1%

502
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.80716667
Minimum0
Maximum255
Zeros3977
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:54.095285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q384
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)84

Descriptive statistics

Standard deviation83.07214021
Coefficient of variation (CV)1.667875243
Kurtosis0.2354974215
Mean49.80716667
Median Absolute Deviation (MAD)0
Skewness1.3587327
Sum298843
Variance6900.980479
MonotonicityNot monotonic
2025-03-21T22:39:54.157852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3977
66.3%
255 111
 
1.8%
238 18
 
0.3%
207 17
 
0.3%
195 17
 
0.3%
214 16
 
0.3%
163 16
 
0.3%
1 16
 
0.3%
217 16
 
0.3%
219 16
 
0.3%
Other values (246) 1780
29.7%
ValueCountFrequency (%)
0 3977
66.3%
1 16
 
0.3%
2 11
 
0.2%
3 6
 
0.1%
4 10
 
0.2%
ValueCountFrequency (%)
255 111
1.8%
254 6
 
0.1%
253 11
 
0.2%
252 9
 
0.1%
251 8
 
0.1%

503
Real number (ℝ)

Zeros 

Distinct202
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.17383333
Minimum0
Maximum236
Zeros4668
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:54.217646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100.05
Maximum236
Range236
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.25939335
Coefficient of variation (CV)2.487639901
Kurtosis8.575653624
Mean14.17383333
Median Absolute Deviation (MAD)0
Skewness2.917432633
Sum85043
Variance1243.224819
MonotonicityNot monotonic
2025-03-21T22:39:54.276405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4668
77.8%
1 31
 
0.5%
2 27
 
0.4%
29 20
 
0.3%
22 18
 
0.3%
23 17
 
0.3%
38 17
 
0.3%
13 17
 
0.3%
3 17
 
0.3%
28 17
 
0.3%
Other values (192) 1151
 
19.2%
ValueCountFrequency (%)
0 4668
77.8%
1 31
 
0.5%
2 27
 
0.4%
3 17
 
0.3%
4 9
 
0.1%
ValueCountFrequency (%)
236 1
< 0.1%
232 1
< 0.1%
224 2
< 0.1%
213 1
< 0.1%
212 1
< 0.1%

504
Real number (ℝ)

Zeros 

Distinct171
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.696
Minimum0
Maximum235
Zeros5040
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:54.335111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile63.05
Maximum235
Range235
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.11913
Coefficient of variation (CV)3.393857849
Kurtosis19.65846137
Mean7.696
Median Absolute Deviation (MAD)0
Skewness4.247504866
Sum46176
Variance682.2089522
MonotonicityNot monotonic
2025-03-21T22:39:54.394685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5040
84.0%
1 93
 
1.6%
2 43
 
0.7%
3 32
 
0.5%
5 25
 
0.4%
4 20
 
0.3%
11 15
 
0.2%
16 15
 
0.2%
8 15
 
0.2%
20 14
 
0.2%
Other values (161) 688
 
11.5%
ValueCountFrequency (%)
0 5040
84.0%
1 93
 
1.6%
2 43
 
0.7%
3 32
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
235 1
 
< 0.1%
222 1
 
< 0.1%
208 1
 
< 0.1%
195 1
 
< 0.1%
191 3
0.1%

505
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.85133333
Minimum0
Maximum255
Zeros4511
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:54.454721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile183
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.89538756
Coefficient of variation (CV)2.278234039
Kurtosis4.216881287
Mean25.85133333
Median Absolute Deviation (MAD)0
Skewness2.315613434
Sum155108
Variance3468.666676
MonotonicityNot monotonic
2025-03-21T22:39:54.514762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4511
75.2%
1 58
 
1.0%
2 32
 
0.5%
3 27
 
0.4%
4 23
 
0.4%
255 22
 
0.4%
6 16
 
0.3%
195 14
 
0.2%
7 12
 
0.2%
24 12
 
0.2%
Other values (246) 1273
 
21.2%
ValueCountFrequency (%)
0 4511
75.2%
1 58
 
1.0%
2 32
 
0.5%
3 27
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 22
0.4%
254 2
 
< 0.1%
253 3
 
0.1%
252 3
 
0.1%
251 2
 
< 0.1%

506
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.08833333
Minimum0
Maximum255
Zeros4206
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:54.575528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322
95-th percentile194
Maximum255
Range255
Interquartile range (IQR)22

Descriptive statistics

Standard deviation65.00098501
Coefficient of variation (CV)1.964468393
Kurtosis2.087653687
Mean33.08833333
Median Absolute Deviation (MAD)0
Skewness1.857380437
Sum198530
Variance4225.128052
MonotonicityNot monotonic
2025-03-21T22:39:54.636888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4206
70.1%
1 56
 
0.9%
2 37
 
0.6%
3 37
 
0.6%
4 26
 
0.4%
194 15
 
0.2%
68 14
 
0.2%
195 14
 
0.2%
6 14
 
0.2%
255 14
 
0.2%
Other values (241) 1567
 
26.1%
ValueCountFrequency (%)
0 4206
70.1%
1 56
 
0.9%
2 37
 
0.6%
3 37
 
0.6%
4 26
 
0.4%
ValueCountFrequency (%)
255 14
0.2%
254 3
 
0.1%
253 1
 
< 0.1%
249 2
 
< 0.1%
248 1
 
< 0.1%

507
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.66733333
Minimum0
Maximum255
Zeros3661
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:54.698170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q379
95-th percentile209
Maximum255
Range255
Interquartile range (IQR)79

Descriptive statistics

Standard deviation73.18395075
Coefficient of variation (CV)1.60254487
Kurtosis0.4537021751
Mean45.66733333
Median Absolute Deviation (MAD)0
Skewness1.375708437
Sum274004
Variance5355.890648
MonotonicityNot monotonic
2025-03-21T22:39:54.762174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3661
61.0%
1 58
 
1.0%
2 29
 
0.5%
255 28
 
0.5%
4 23
 
0.4%
3 19
 
0.3%
60 19
 
0.3%
53 17
 
0.3%
189 17
 
0.3%
154 16
 
0.3%
Other values (246) 2113
35.2%
ValueCountFrequency (%)
0 3661
61.0%
1 58
 
1.0%
2 29
 
0.5%
3 19
 
0.3%
4 23
 
0.4%
ValueCountFrequency (%)
255 28
0.5%
254 1
 
< 0.1%
253 4
 
0.1%
252 2
 
< 0.1%
251 1
 
< 0.1%

508
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.3505
Minimum0
Maximum255
Zeros2710
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:54.824541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q3141
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation83.46306766
Coefficient of variation (CV)1.203496264
Kurtosis-0.9201008611
Mean69.3505
Median Absolute Deviation (MAD)16
Skewness0.7691296156
Sum416103
Variance6966.083664
MonotonicityNot monotonic
2025-03-21T22:39:55.029616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2710
45.2%
1 65
 
1.1%
255 57
 
0.9%
2 51
 
0.9%
3 35
 
0.6%
4 24
 
0.4%
222 22
 
0.4%
126 22
 
0.4%
144 21
 
0.4%
217 21
 
0.4%
Other values (246) 2972
49.5%
ValueCountFrequency (%)
0 2710
45.2%
1 65
 
1.1%
2 51
 
0.9%
3 35
 
0.6%
4 24
 
0.4%
ValueCountFrequency (%)
255 57
0.9%
254 4
 
0.1%
253 10
 
0.2%
252 3
 
0.1%
251 9
 
0.1%

509
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.88966667
Minimum0
Maximum255
Zeros2169
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.093135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median62
Q3179
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation90.98849549
Coefficient of variation (CV)1.03525817
Kurtosis-1.424665356
Mean87.88966667
Median Absolute Deviation (MAD)62
Skewness0.4182757911
Sum527338
Variance8278.906311
MonotonicityNot monotonic
2025-03-21T22:39:55.158525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2169
36.1%
1 127
 
2.1%
2 98
 
1.6%
255 85
 
1.4%
3 54
 
0.9%
4 42
 
0.7%
205 32
 
0.5%
222 30
 
0.5%
196 29
 
0.5%
213 29
 
0.5%
Other values (246) 3305
55.1%
ValueCountFrequency (%)
0 2169
36.1%
1 127
 
2.1%
2 98
 
1.6%
3 54
 
0.9%
4 42
 
0.7%
ValueCountFrequency (%)
255 85
1.4%
254 19
 
0.3%
253 10
 
0.2%
252 14
 
0.2%
251 8
 
0.1%

510
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.26183333
Minimum0
Maximum255
Zeros2067
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.219886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median87
Q3190
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation93.22531722
Coefficient of variation (CV)0.9584984574
Kurtosis-1.544702477
Mean97.26183333
Median Absolute Deviation (MAD)87
Skewness0.2571608847
Sum583571
Variance8690.95977
MonotonicityNot monotonic
2025-03-21T22:39:55.281132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2067
34.4%
255 125
 
2.1%
1 68
 
1.1%
2 67
 
1.1%
3 39
 
0.7%
192 33
 
0.5%
210 32
 
0.5%
220 32
 
0.5%
208 31
 
0.5%
196 31
 
0.5%
Other values (246) 3475
57.9%
ValueCountFrequency (%)
0 2067
34.4%
1 68
 
1.1%
2 67
 
1.1%
3 39
 
0.7%
4 27
 
0.4%
ValueCountFrequency (%)
255 125
2.1%
254 18
 
0.3%
253 14
 
0.2%
252 9
 
0.1%
251 22
 
0.4%

511
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.355
Minimum0
Maximum255
Zeros1702
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.340132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3188
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation89.73315616
Coefficient of variation (CV)0.8766856154
Kurtosis-1.518694007
Mean102.355
Median Absolute Deviation (MAD)98
Skewness0.1590929132
Sum614130
Variance8052.039315
MonotonicityNot monotonic
2025-03-21T22:39:55.403256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1702
28.4%
255 82
 
1.4%
2 39
 
0.7%
1 32
 
0.5%
204 31
 
0.5%
194 31
 
0.5%
192 31
 
0.5%
213 31
 
0.5%
216 29
 
0.5%
185 29
 
0.5%
Other values (246) 3963
66.0%
ValueCountFrequency (%)
0 1702
28.4%
1 32
 
0.5%
2 39
 
0.7%
3 29
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
255 82
1.4%
254 10
 
0.2%
253 15
 
0.2%
252 13
 
0.2%
251 15
 
0.2%

512
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.9281667
Minimum0
Maximum255
Zeros1120
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.465693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median126
Q3197
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)168

Descriptive statistics

Standard deviation85.46031389
Coefficient of variation (CV)0.724681103
Kurtosis-1.424074495
Mean117.9281667
Median Absolute Deviation (MAD)78
Skewness-0.1009344207
Sum707569
Variance7303.465251
MonotonicityNot monotonic
2025-03-21T22:39:55.528411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1120
 
18.7%
255 76
 
1.3%
198 44
 
0.7%
200 41
 
0.7%
227 37
 
0.6%
214 37
 
0.6%
204 37
 
0.6%
234 37
 
0.6%
226 36
 
0.6%
181 36
 
0.6%
Other values (246) 4499
75.0%
ValueCountFrequency (%)
0 1120
18.7%
1 34
 
0.6%
2 14
 
0.2%
3 20
 
0.3%
4 18
 
0.3%
ValueCountFrequency (%)
255 76
1.3%
254 18
 
0.3%
253 14
 
0.2%
252 11
 
0.2%
251 7
 
0.1%

513
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.3501667
Minimum0
Maximum255
Zeros597
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.590176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181
median160
Q3208
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation78.915874
Coefficient of variation (CV)0.5583005373
Kurtosis-1.019281523
Mean141.3501667
Median Absolute Deviation (MAD)58
Skewness-0.475769448
Sum848101
Variance6227.715169
MonotonicityNot monotonic
2025-03-21T22:39:55.653172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 597
 
10.0%
255 153
 
2.5%
215 54
 
0.9%
205 49
 
0.8%
188 46
 
0.8%
225 46
 
0.8%
230 46
 
0.8%
221 45
 
0.8%
197 44
 
0.7%
220 43
 
0.7%
Other values (246) 4877
81.3%
ValueCountFrequency (%)
0 597
10.0%
1 16
 
0.3%
2 14
 
0.2%
3 11
 
0.2%
4 3
 
0.1%
ValueCountFrequency (%)
255 153
2.5%
254 15
 
0.2%
253 20
 
0.3%
252 10
 
0.2%
251 6
 
0.1%

514
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.8213333
Minimum0
Maximum255
Zeros313
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.717266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1104
median172
Q3212
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation71.34599582
Coefficient of variation (CV)0.4668588754
Kurtosis-0.6077636808
Mean152.8213333
Median Absolute Deviation (MAD)48
Skewness-0.6804410646
Sum916928
Variance5090.25112
MonotonicityNot monotonic
2025-03-21T22:39:55.780421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 313
 
5.2%
255 75
 
1.2%
215 65
 
1.1%
227 63
 
1.1%
222 61
 
1.0%
219 57
 
0.9%
214 57
 
0.9%
225 53
 
0.9%
226 52
 
0.9%
198 51
 
0.9%
Other values (246) 5153
85.9%
ValueCountFrequency (%)
0 313
5.2%
1 18
 
0.3%
2 9
 
0.1%
3 7
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 75
1.2%
254 17
 
0.3%
253 6
 
0.1%
252 12
 
0.2%
251 9
 
0.1%

515
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.947
Minimum0
Maximum255
Zeros269
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.843328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q1109.75
median176
Q3213
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)103.25

Descriptive statistics

Standard deviation69.49771588
Coefficient of variation (CV)0.4456495853
Kurtosis-0.470646924
Mean155.947
Median Absolute Deviation (MAD)45
Skewness-0.7675781214
Sum935682
Variance4829.932513
MonotonicityNot monotonic
2025-03-21T22:39:55.906203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 269
 
4.5%
218 69
 
1.1%
223 69
 
1.1%
227 63
 
1.1%
197 61
 
1.0%
216 61
 
1.0%
224 60
 
1.0%
204 57
 
0.9%
229 57
 
0.9%
225 56
 
0.9%
Other values (246) 5178
86.3%
ValueCountFrequency (%)
0 269
4.5%
1 13
 
0.2%
2 8
 
0.1%
3 8
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 45
0.8%
254 6
 
0.1%
253 9
 
0.1%
252 9
 
0.1%
251 6
 
0.1%

516
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.8341667
Minimum0
Maximum255
Zeros292
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:55.967919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1105
median176
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation71.28706503
Coefficient of variation (CV)0.4604091368
Kurtosis-0.5943793385
Mean154.8341667
Median Absolute Deviation (MAD)46
Skewness-0.7207531591
Sum929005
Variance5081.84564
MonotonicityNot monotonic
2025-03-21T22:39:56.032500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 292
 
4.9%
214 73
 
1.2%
230 68
 
1.1%
229 61
 
1.0%
217 58
 
1.0%
200 56
 
0.9%
208 56
 
0.9%
228 56
 
0.9%
220 56
 
0.9%
255 55
 
0.9%
Other values (246) 5169
86.2%
ValueCountFrequency (%)
0 292
4.9%
1 13
 
0.2%
2 14
 
0.2%
3 3
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 55
0.9%
254 9
 
0.1%
253 10
 
0.2%
252 6
 
0.1%
251 5
 
0.1%

517
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.5853333
Minimum0
Maximum255
Zeros527
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:56.095944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187
median167
Q3210
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)123

Descriptive statistics

Standard deviation76.55543639
Coefficient of variation (CV)0.5294827257
Kurtosis-0.9008455065
Mean144.5853333
Median Absolute Deviation (MAD)52
Skewness-0.6068578675
Sum867512
Variance5860.734841
MonotonicityNot monotonic
2025-03-21T22:39:56.158945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 527
 
8.8%
214 63
 
1.1%
208 61
 
1.0%
216 60
 
1.0%
231 54
 
0.9%
211 54
 
0.9%
221 54
 
0.9%
218 54
 
0.9%
213 53
 
0.9%
229 51
 
0.9%
Other values (246) 4969
82.8%
ValueCountFrequency (%)
0 527
8.8%
1 16
 
0.3%
2 16
 
0.3%
3 12
 
0.2%
4 4
 
0.1%
ValueCountFrequency (%)
255 33
0.5%
254 9
 
0.1%
253 7
 
0.1%
252 8
 
0.1%
251 7
 
0.1%

518
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.0606667
Minimum0
Maximum255
Zeros718
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:56.370302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median164
Q3209
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation79.85360618
Coefficient of variation (CV)0.5701358424
Kurtosis-1.047995545
Mean140.0606667
Median Absolute Deviation (MAD)54
Skewness-0.5537955835
Sum840364
Variance6376.598419
MonotonicityNot monotonic
2025-03-21T22:39:56.430526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 718
 
12.0%
211 61
 
1.0%
210 61
 
1.0%
223 58
 
1.0%
205 57
 
0.9%
224 55
 
0.9%
216 54
 
0.9%
213 54
 
0.9%
217 53
 
0.9%
215 52
 
0.9%
Other values (246) 4777
79.6%
ValueCountFrequency (%)
0 718
12.0%
1 13
 
0.2%
2 20
 
0.3%
3 9
 
0.1%
4 18
 
0.3%
ValueCountFrequency (%)
255 26
0.4%
254 11
0.2%
253 4
 
0.1%
252 2
 
< 0.1%
251 5
 
0.1%

519
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.8661667
Minimum0
Maximum255
Zeros359
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:56.490654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197
median172
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)116

Descriptive statistics

Standard deviation73.90046099
Coefficient of variation (CV)0.4898411793
Kurtosis-0.7589483394
Mean150.8661667
Median Absolute Deviation (MAD)50
Skewness-0.6605317608
Sum905197
Variance5461.278135
MonotonicityNot monotonic
2025-03-21T22:39:56.551942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 359
 
6.0%
225 62
 
1.0%
228 61
 
1.0%
255 61
 
1.0%
215 60
 
1.0%
223 59
 
1.0%
227 57
 
0.9%
218 56
 
0.9%
230 55
 
0.9%
214 55
 
0.9%
Other values (246) 5115
85.2%
ValueCountFrequency (%)
0 359
6.0%
1 14
 
0.2%
2 10
 
0.2%
3 8
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
255 61
1.0%
254 11
 
0.2%
253 7
 
0.1%
252 5
 
0.1%
251 9
 
0.1%

520
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.5726667
Minimum0
Maximum255
Zeros236
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:56.611648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q1108
median179
Q3215
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation70.47051205
Coefficient of variation (CV)0.4472254836
Kurtosis-0.545060499
Mean157.5726667
Median Absolute Deviation (MAD)45
Skewness-0.7585275116
Sum945436
Variance4966.093068
MonotonicityNot monotonic
2025-03-21T22:39:56.676360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 236
 
3.9%
224 72
 
1.2%
216 69
 
1.1%
223 64
 
1.1%
210 61
 
1.0%
215 60
 
1.0%
227 59
 
1.0%
229 59
 
1.0%
221 58
 
1.0%
219 58
 
1.0%
Other values (246) 5204
86.7%
ValueCountFrequency (%)
0 236
3.9%
1 10
 
0.2%
2 5
 
0.1%
3 6
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 38
0.6%
254 10
 
0.2%
253 14
 
0.2%
252 11
 
0.2%
251 11
 
0.2%

521
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.4681667
Minimum0
Maximum255
Zeros246
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:56.739942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.95
Q1105
median177
Q3214
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation70.82686209
Coefficient of variation (CV)0.4555714756
Kurtosis-0.5779735329
Mean155.4681667
Median Absolute Deviation (MAD)45
Skewness-0.7403943751
Sum932809
Variance5016.444394
MonotonicityNot monotonic
2025-03-21T22:39:56.803051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 246
 
4.1%
216 78
 
1.3%
217 68
 
1.1%
230 64
 
1.1%
225 63
 
1.1%
223 63
 
1.1%
210 63
 
1.1%
227 61
 
1.0%
201 60
 
1.0%
214 59
 
1.0%
Other values (246) 5175
86.2%
ValueCountFrequency (%)
0 246
4.1%
1 14
 
0.2%
2 8
 
0.1%
3 5
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 54
0.9%
254 15
 
0.2%
253 7
 
0.1%
252 6
 
0.1%
251 4
 
0.1%

522
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.442
Minimum0
Maximum255
Zeros413
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:56.864007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194
median169.5
Q3212
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)118

Descriptive statistics

Standard deviation75.50900104
Coefficient of variation (CV)0.5086767966
Kurtosis-0.8279818381
Mean148.442
Median Absolute Deviation (MAD)51.5
Skewness-0.6010217458
Sum890652
Variance5701.609238
MonotonicityNot monotonic
2025-03-21T22:39:56.924790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
 
6.9%
255 115
 
1.9%
221 53
 
0.9%
222 52
 
0.9%
227 52
 
0.9%
230 52
 
0.9%
225 52
 
0.9%
219 50
 
0.8%
218 50
 
0.8%
223 49
 
0.8%
Other values (246) 5062
84.4%
ValueCountFrequency (%)
0 413
6.9%
1 14
 
0.2%
2 12
 
0.2%
3 8
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 115
1.9%
254 17
 
0.3%
253 13
 
0.2%
252 9
 
0.1%
251 10
 
0.2%

523
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.82
Minimum0
Maximum255
Zeros869
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:56.985244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median148
Q3207
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)157

Descriptive statistics

Standard deviation84.62602748
Coefficient of variation (CV)0.6518720342
Kurtosis-1.34141604
Mean129.82
Median Absolute Deviation (MAD)69
Skewness-0.2979142166
Sum778920
Variance7161.564527
MonotonicityNot monotonic
2025-03-21T22:39:57.046863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 869
 
14.5%
255 110
 
1.8%
209 51
 
0.9%
220 51
 
0.9%
218 46
 
0.8%
223 45
 
0.8%
227 44
 
0.7%
214 44
 
0.7%
231 44
 
0.7%
217 42
 
0.7%
Other values (246) 4654
77.6%
ValueCountFrequency (%)
0 869
14.5%
1 29
 
0.5%
2 15
 
0.2%
3 19
 
0.3%
4 9
 
0.1%
ValueCountFrequency (%)
255 110
1.8%
254 11
 
0.2%
253 11
 
0.2%
252 8
 
0.1%
251 6
 
0.1%

524
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.0498333
Minimum0
Maximum255
Zeros1377
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:57.107696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median114
Q3196
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation89.08625639
Coefficient of variation (CV)0.8022187311
Kurtosis-1.536062013
Mean111.0498333
Median Absolute Deviation (MAD)91
Skewness0.01918625623
Sum666299
Variance7936.361077
MonotonicityNot monotonic
2025-03-21T22:39:57.171325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1377
 
22.9%
255 87
 
1.5%
1 49
 
0.8%
225 40
 
0.7%
209 39
 
0.7%
230 37
 
0.6%
190 36
 
0.6%
216 35
 
0.6%
2 35
 
0.6%
226 34
 
0.6%
Other values (246) 4231
70.5%
ValueCountFrequency (%)
0 1377
22.9%
1 49
 
0.8%
2 35
 
0.6%
3 16
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 87
1.5%
254 10
 
0.2%
253 13
 
0.2%
252 9
 
0.1%
251 13
 
0.2%

525
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.5151667
Minimum0
Maximum255
Zeros1828
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:57.234399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111.5
Q3201
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation94.40824605
Coefficient of variation (CV)0.8780923565
Kurtosis-1.628908128
Mean107.5151667
Median Absolute Deviation (MAD)104.5
Skewness0.07651829636
Sum645091
Variance8912.916923
MonotonicityNot monotonic
2025-03-21T22:39:57.295695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1828
30.5%
255 127
 
2.1%
1 49
 
0.8%
219 45
 
0.8%
212 43
 
0.7%
209 39
 
0.7%
221 36
 
0.6%
222 36
 
0.6%
206 35
 
0.6%
213 35
 
0.6%
Other values (246) 3727
62.1%
ValueCountFrequency (%)
0 1828
30.5%
1 49
 
0.8%
2 30
 
0.5%
3 32
 
0.5%
4 24
 
0.4%
ValueCountFrequency (%)
255 127
2.1%
254 25
 
0.4%
253 17
 
0.3%
252 13
 
0.2%
251 15
 
0.2%

526
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.9335
Minimum0
Maximum255
Zeros1919
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:57.355034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median99
Q3197
95-th percentile240.05
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.77458757
Coefficient of variation (CV)0.9207360827
Kurtosis-1.637015438
Mean102.9335
Median Absolute Deviation (MAD)99
Skewness0.1430238459
Sum617601
Variance8982.222448
MonotonicityNot monotonic
2025-03-21T22:39:57.415772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1919
32.0%
255 109
 
1.8%
1 93
 
1.6%
2 75
 
1.2%
3 67
 
1.1%
221 41
 
0.7%
225 40
 
0.7%
228 40
 
0.7%
213 36
 
0.6%
209 35
 
0.6%
Other values (246) 3545
59.1%
ValueCountFrequency (%)
0 1919
32.0%
1 93
 
1.6%
2 75
 
1.2%
3 67
 
1.1%
4 23
 
0.4%
ValueCountFrequency (%)
255 109
1.8%
254 17
 
0.3%
253 11
 
0.2%
252 15
 
0.2%
251 6
 
0.1%

527
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.7635
Minimum0
Maximum255
Zeros2143
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:57.475853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median72
Q3183
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation91.0477156
Coefficient of variation (CV)1.003131386
Kurtosis-1.500168898
Mean90.7635
Median Absolute Deviation (MAD)72
Skewness0.3440490865
Sum544581
Variance8289.686516
MonotonicityNot monotonic
2025-03-21T22:39:57.538345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2143
35.7%
1 103
 
1.7%
2 73
 
1.2%
255 63
 
1.1%
3 44
 
0.7%
212 38
 
0.6%
222 33
 
0.5%
213 32
 
0.5%
198 31
 
0.5%
205 31
 
0.5%
Other values (246) 3409
56.8%
ValueCountFrequency (%)
0 2143
35.7%
1 103
 
1.7%
2 73
 
1.2%
3 44
 
0.7%
4 31
 
0.5%
ValueCountFrequency (%)
255 63
1.1%
254 12
 
0.2%
253 11
 
0.2%
252 6
 
0.1%
251 7
 
0.1%

528
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.36983333
Minimum0
Maximum255
Zeros2939
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:57.755244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3153
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)153

Descriptive statistics

Standard deviation86.41099969
Coefficient of variation (CV)1.227955156
Kurtosis-1.080312277
Mean70.36983333
Median Absolute Deviation (MAD)3
Skewness0.7396110095
Sum422219
Variance7466.860867
MonotonicityNot monotonic
2025-03-21T22:39:57.818833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2939
49.0%
1 42
 
0.7%
203 31
 
0.5%
194 30
 
0.5%
211 29
 
0.5%
223 28
 
0.5%
255 28
 
0.5%
195 27
 
0.4%
177 27
 
0.4%
210 27
 
0.4%
Other values (245) 2792
46.5%
ValueCountFrequency (%)
0 2939
49.0%
1 42
 
0.7%
2 16
 
0.3%
3 13
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 28
0.5%
254 3
 
0.1%
253 4
 
0.1%
252 5
 
0.1%
251 3
 
0.1%

529
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.81033333
Minimum0
Maximum255
Zeros3656
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:57.882687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3114
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation82.35130225
Coefficient of variation (CV)1.502477676
Kurtosis-0.4141699463
Mean54.81033333
Median Absolute Deviation (MAD)0
Skewness1.112835093
Sum328862
Variance6781.736983
MonotonicityNot monotonic
2025-03-21T22:39:57.946853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3656
60.9%
204 28
 
0.5%
255 26
 
0.4%
205 24
 
0.4%
1 24
 
0.4%
188 23
 
0.4%
198 22
 
0.4%
187 21
 
0.4%
200 21
 
0.4%
185 21
 
0.4%
Other values (246) 2134
35.6%
ValueCountFrequency (%)
0 3656
60.9%
1 24
 
0.4%
2 20
 
0.3%
3 12
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 26
0.4%
254 10
 
0.2%
253 2
 
< 0.1%
252 3
 
0.1%
251 5
 
0.1%

530
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.70633333
Minimum0
Maximum255
Zeros4023
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.009418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q369
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)69

Descriptive statistics

Standard deviation80.47774353
Coefficient of variation (CV)1.723058476
Kurtosis0.5571676373
Mean46.70633333
Median Absolute Deviation (MAD)0
Skewness1.460159648
Sum280238
Variance6476.667204
MonotonicityNot monotonic
2025-03-21T22:39:58.072010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4023
67.0%
255 102
 
1.7%
218 17
 
0.3%
252 16
 
0.3%
198 16
 
0.3%
204 15
 
0.2%
220 15
 
0.2%
196 15
 
0.2%
195 14
 
0.2%
1 14
 
0.2%
Other values (246) 1753
29.2%
ValueCountFrequency (%)
0 4023
67.0%
1 14
 
0.2%
2 12
 
0.2%
3 5
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 102
1.7%
254 3
 
0.1%
253 10
 
0.2%
252 16
 
0.3%
251 7
 
0.1%

531
Real number (ℝ)

Zeros 

Distinct190
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.07116667
Minimum0
Maximum240
Zeros4686
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.133250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile92
Maximum240
Range240
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.5203874
Coefficient of variation (CV)2.564452604
Kurtosis9.999201605
Mean13.07116667
Median Absolute Deviation (MAD)0
Skewness3.107523868
Sum78427
Variance1123.616371
MonotonicityNot monotonic
2025-03-21T22:39:58.195598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4686
78.1%
1 36
 
0.6%
2 28
 
0.5%
9 23
 
0.4%
10 21
 
0.4%
3 21
 
0.4%
30 21
 
0.4%
40 19
 
0.3%
4 18
 
0.3%
24 18
 
0.3%
Other values (180) 1109
 
18.5%
ValueCountFrequency (%)
0 4686
78.1%
1 36
 
0.6%
2 28
 
0.5%
3 21
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
240 1
< 0.1%
227 1
< 0.1%
214 1
< 0.1%
213 1
< 0.1%
209 1
< 0.1%

532
Real number (ℝ)

Zeros 

Distinct173
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6355
Minimum0
Maximum247
Zeros5220
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.257933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile51.05
Maximum247
Range247
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.84888095
Coefficient of variation (CV)3.744839265
Kurtosis25.27384399
Mean6.6355
Median Absolute Deviation (MAD)0
Skewness4.765962481
Sum39813
Variance617.4668842
MonotonicityNot monotonic
2025-03-21T22:39:58.320220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5220
87.0%
1 67
 
1.1%
2 30
 
0.5%
3 27
 
0.4%
4 18
 
0.3%
5 16
 
0.3%
23 13
 
0.2%
21 12
 
0.2%
12 10
 
0.2%
20 10
 
0.2%
Other values (163) 577
 
9.6%
ValueCountFrequency (%)
0 5220
87.0%
1 67
 
1.1%
2 30
 
0.5%
3 27
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
247 1
< 0.1%
238 1
< 0.1%
215 2
< 0.1%
202 1
< 0.1%
201 1
< 0.1%

533
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.27916667
Minimum0
Maximum255
Zeros4700
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.380639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile181
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.41638564
Coefficient of variation (CV)2.466427878
Kurtosis5.296521707
Mean23.27916667
Median Absolute Deviation (MAD)0
Skewness2.537101114
Sum139675
Variance3296.64134
MonotonicityNot monotonic
2025-03-21T22:39:58.441826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4700
78.3%
1 49
 
0.8%
2 32
 
0.5%
3 26
 
0.4%
255 23
 
0.4%
4 18
 
0.3%
7 13
 
0.2%
31 13
 
0.2%
47 11
 
0.2%
51 11
 
0.2%
Other values (244) 1104
 
18.4%
ValueCountFrequency (%)
0 4700
78.3%
1 49
 
0.8%
2 32
 
0.5%
3 26
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
255 23
0.4%
254 5
 
0.1%
253 1
 
< 0.1%
252 2
 
< 0.1%
251 1
 
< 0.1%

534
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.7385
Minimum0
Maximum255
Zeros4361
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.502293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile196.05
Maximum255
Range255
Interquartile range (IQR)10

Descriptive statistics

Standard deviation65.00813124
Coefficient of variation (CV)2.048242079
Kurtosis2.417787235
Mean31.7385
Median Absolute Deviation (MAD)0
Skewness1.951300557
Sum190431
Variance4226.057127
MonotonicityNot monotonic
2025-03-21T22:39:58.563148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4361
72.7%
1 43
 
0.7%
2 25
 
0.4%
3 20
 
0.3%
255 20
 
0.3%
16 18
 
0.3%
216 14
 
0.2%
187 14
 
0.2%
202 13
 
0.2%
42 13
 
0.2%
Other values (245) 1459
 
24.3%
ValueCountFrequency (%)
0 4361
72.7%
1 43
 
0.7%
2 25
 
0.4%
3 20
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 20
0.3%
254 2
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 3
 
0.1%

535
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.0595
Minimum0
Maximum255
Zeros3750
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.622670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378
95-th percentile211
Maximum255
Range255
Interquartile range (IQR)78

Descriptive statistics

Standard deviation73.56614454
Coefficient of variation (CV)1.632644493
Kurtosis0.5236958664
Mean45.0595
Median Absolute Deviation (MAD)0
Skewness1.405253404
Sum270357
Variance5411.977623
MonotonicityNot monotonic
2025-03-21T22:39:58.684860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3750
62.5%
1 47
 
0.8%
2 25
 
0.4%
255 24
 
0.4%
82 20
 
0.3%
4 19
 
0.3%
76 18
 
0.3%
90 18
 
0.3%
123 17
 
0.3%
3 17
 
0.3%
Other values (246) 2045
34.1%
ValueCountFrequency (%)
0 3750
62.5%
1 47
 
0.8%
2 25
 
0.4%
3 17
 
0.3%
4 19
 
0.3%
ValueCountFrequency (%)
255 24
0.4%
254 4
 
0.1%
253 3
 
0.1%
252 4
 
0.1%
251 3
 
0.1%

536
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.02183333
Minimum0
Maximum255
Zeros2745
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.745733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q3141.25
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)141.25

Descriptive statistics

Standard deviation84.02331428
Coefficient of variation (CV)1.217343994
Kurtosis-0.9118629971
Mean69.02183333
Median Absolute Deviation (MAD)11
Skewness0.7834679795
Sum414131
Variance7059.917343
MonotonicityNot monotonic
2025-03-21T22:39:58.808567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2745
45.8%
1 74
 
1.2%
255 57
 
0.9%
2 48
 
0.8%
3 32
 
0.5%
221 27
 
0.4%
220 24
 
0.4%
4 23
 
0.4%
108 23
 
0.4%
190 22
 
0.4%
Other values (246) 2925
48.8%
ValueCountFrequency (%)
0 2745
45.8%
1 74
 
1.2%
2 48
 
0.8%
3 32
 
0.5%
4 23
 
0.4%
ValueCountFrequency (%)
255 57
0.9%
254 11
 
0.2%
253 6
 
0.1%
252 3
 
0.1%
251 2
 
< 0.1%

537
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.06316667
Minimum0
Maximum255
Zeros2223
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:58.869250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50
Q3178
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation91.4456463
Coefficient of variation (CV)1.062541036
Kurtosis-1.409916778
Mean86.06316667
Median Absolute Deviation (MAD)50
Skewness0.4618270651
Sum516379
Variance8362.306228
MonotonicityNot monotonic
2025-03-21T22:39:59.082579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2223
37.0%
1 113
 
1.9%
255 90
 
1.5%
2 71
 
1.2%
3 61
 
1.0%
4 38
 
0.6%
228 31
 
0.5%
217 30
 
0.5%
209 29
 
0.5%
211 28
 
0.5%
Other values (246) 3286
54.8%
ValueCountFrequency (%)
0 2223
37.0%
1 113
 
1.9%
2 71
 
1.2%
3 61
 
1.0%
4 38
 
0.6%
ValueCountFrequency (%)
255 90
1.5%
254 20
 
0.3%
253 15
 
0.2%
252 9
 
0.1%
251 10
 
0.2%

538
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.81
Minimum0
Maximum255
Zeros2077
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:59.143757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median76
Q3191
95-th percentile242.05
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation93.8063582
Coefficient of variation (CV)0.9790873416
Kurtosis-1.540120626
Mean95.81
Median Absolute Deviation (MAD)76
Skewness0.2998721604
Sum574860
Variance8799.632839
MonotonicityNot monotonic
2025-03-21T22:39:59.205732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2077
34.6%
255 127
 
2.1%
1 67
 
1.1%
2 57
 
0.9%
216 38
 
0.6%
212 36
 
0.6%
3 34
 
0.6%
222 33
 
0.5%
208 32
 
0.5%
234 32
 
0.5%
Other values (246) 3467
57.8%
ValueCountFrequency (%)
0 2077
34.6%
1 67
 
1.1%
2 57
 
0.9%
3 34
 
0.6%
4 23
 
0.4%
ValueCountFrequency (%)
255 127
2.1%
254 21
 
0.4%
253 10
 
0.2%
252 20
 
0.3%
251 9
 
0.1%

539
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.867
Minimum0
Maximum255
Zeros1733
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:59.265748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median91
Q3187
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation89.66826479
Coefficient of variation (CV)0.8978768241
Kurtosis-1.493476648
Mean99.867
Median Absolute Deviation (MAD)91
Skewness0.2277896362
Sum599202
Variance8040.397711
MonotonicityNot monotonic
2025-03-21T22:39:59.329365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1733
28.9%
255 90
 
1.5%
213 37
 
0.6%
226 34
 
0.6%
209 34
 
0.6%
1 34
 
0.6%
215 29
 
0.5%
222 29
 
0.5%
227 28
 
0.5%
172 28
 
0.5%
Other values (246) 3924
65.4%
ValueCountFrequency (%)
0 1733
28.9%
1 34
 
0.6%
2 27
 
0.4%
3 23
 
0.4%
4 14
 
0.2%
ValueCountFrequency (%)
255 90
1.5%
254 13
 
0.2%
253 8
 
0.1%
252 10
 
0.2%
251 9
 
0.1%

540
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.2115
Minimum0
Maximum255
Zeros1184
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:59.391764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median127
Q3198
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)173

Descriptive statistics

Standard deviation86.69956884
Coefficient of variation (CV)0.7396848333
Kurtosis-1.451803637
Mean117.2115
Median Absolute Deviation (MAD)81
Skewness-0.07773254282
Sum703269
Variance7516.815237
MonotonicityNot monotonic
2025-03-21T22:39:59.454911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1184
 
19.7%
255 94
 
1.6%
225 49
 
0.8%
204 43
 
0.7%
213 39
 
0.7%
205 38
 
0.6%
223 36
 
0.6%
143 35
 
0.6%
209 35
 
0.6%
210 35
 
0.6%
Other values (246) 4412
73.5%
ValueCountFrequency (%)
0 1184
19.7%
1 20
 
0.3%
2 21
 
0.4%
3 21
 
0.4%
4 10
 
0.2%
ValueCountFrequency (%)
255 94
1.6%
254 17
 
0.3%
253 13
 
0.2%
252 20
 
0.3%
251 15
 
0.2%

541
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.536
Minimum0
Maximum255
Zeros699
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:59.515974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169
median159
Q3209
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation81.56069148
Coefficient of variation (CV)0.588732831
Kurtosis-1.146159626
Mean138.536
Median Absolute Deviation (MAD)61
Skewness-0.4358460664
Sum831216
Variance6652.146395
MonotonicityNot monotonic
2025-03-21T22:39:59.580201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 699
 
11.7%
255 144
 
2.4%
213 56
 
0.9%
203 50
 
0.8%
231 48
 
0.8%
215 46
 
0.8%
202 45
 
0.8%
221 45
 
0.8%
226 44
 
0.7%
194 44
 
0.7%
Other values (246) 4779
79.7%
ValueCountFrequency (%)
0 699
11.7%
1 14
 
0.2%
2 10
 
0.2%
3 10
 
0.2%
4 10
 
0.2%
ValueCountFrequency (%)
255 144
2.4%
254 17
 
0.3%
253 15
 
0.2%
252 20
 
0.3%
251 11
 
0.2%

542
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.9911667
Minimum0
Maximum255
Zeros385
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:59.645708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q196
median170
Q3212
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)116

Descriptive statistics

Standard deviation74.49346035
Coefficient of variation (CV)0.4966523163
Kurtosis-0.7654816279
Mean149.9911667
Median Absolute Deviation (MAD)50
Skewness-0.6455173245
Sum899947
Variance5549.275635
MonotonicityNot monotonic
2025-03-21T22:39:59.709858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 385
 
6.4%
255 74
 
1.2%
229 70
 
1.2%
223 59
 
1.0%
228 55
 
0.9%
203 54
 
0.9%
221 54
 
0.9%
230 54
 
0.9%
213 53
 
0.9%
216 53
 
0.9%
Other values (246) 5089
84.8%
ValueCountFrequency (%)
0 385
6.4%
1 16
 
0.3%
2 10
 
0.2%
3 8
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 74
1.2%
254 14
 
0.2%
253 13
 
0.2%
252 8
 
0.1%
251 7
 
0.1%

543
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.666
Minimum0
Maximum255
Zeros370
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:59.769983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1102
median176
Q3214.25
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)112.25

Descriptive statistics

Standard deviation73.25004236
Coefficient of variation (CV)0.4766834717
Kurtosis-0.6372479549
Mean153.666
Median Absolute Deviation (MAD)46
Skewness-0.7365528498
Sum921996
Variance5365.568705
MonotonicityNot monotonic
2025-03-21T22:39:59.831010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 370
 
6.2%
219 70
 
1.2%
220 63
 
1.1%
225 62
 
1.0%
227 61
 
1.0%
232 60
 
1.0%
222 59
 
1.0%
229 59
 
1.0%
230 58
 
1.0%
218 57
 
0.9%
Other values (246) 5081
84.7%
ValueCountFrequency (%)
0 370
6.2%
1 10
 
0.2%
2 5
 
0.1%
3 6
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 41
0.7%
254 10
 
0.2%
253 8
 
0.1%
252 7
 
0.1%
251 9
 
0.1%

544
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.1686667
Minimum0
Maximum255
Zeros386
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:39:59.890778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199.75
median176
Q3215
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)115.25

Descriptive statistics

Standard deviation74.69423733
Coefficient of variation (CV)0.4876600349
Kurtosis-0.7093904271
Mean153.1686667
Median Absolute Deviation (MAD)48
Skewness-0.7010400763
Sum919012
Variance5579.22909
MonotonicityNot monotonic
2025-03-21T22:39:59.951646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 386
 
6.4%
215 64
 
1.1%
232 64
 
1.1%
255 63
 
1.1%
228 61
 
1.0%
225 60
 
1.0%
211 60
 
1.0%
209 60
 
1.0%
223 59
 
1.0%
224 57
 
0.9%
Other values (246) 5066
84.4%
ValueCountFrequency (%)
0 386
6.4%
1 13
 
0.2%
2 10
 
0.2%
3 6
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 63
1.1%
254 10
 
0.2%
253 11
 
0.2%
252 9
 
0.1%
251 11
 
0.2%

545
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.9705
Minimum0
Maximum255
Zeros636
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:00.010977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median164
Q3211
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation79.75269094
Coefficient of variation (CV)0.5617553713
Kurtosis-1.048574559
Mean141.9705
Median Absolute Deviation (MAD)56
Skewness-0.5401215303
Sum851823
Variance6360.491712
MonotonicityNot monotonic
2025-03-21T22:40:00.076763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 636
 
10.6%
228 65
 
1.1%
217 57
 
0.9%
224 56
 
0.9%
213 54
 
0.9%
231 54
 
0.9%
229 54
 
0.9%
227 54
 
0.9%
219 53
 
0.9%
215 53
 
0.9%
Other values (246) 4864
81.1%
ValueCountFrequency (%)
0 636
10.6%
1 19
 
0.3%
2 14
 
0.2%
3 10
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 41
0.7%
254 11
 
0.2%
253 9
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

546
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.5508333
Minimum0
Maximum255
Zeros820
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:00.141320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166.75
median160
Q3211
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)144.25

Descriptive statistics

Standard deviation82.49324986
Coefficient of variation (CV)0.59972919
Kurtosis-1.17747015
Mean137.5508333
Median Absolute Deviation (MAD)59
Skewness-0.4868115819
Sum825305
Variance6805.136272
MonotonicityNot monotonic
2025-03-21T22:40:00.202062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 820
 
13.7%
225 59
 
1.0%
216 58
 
1.0%
222 58
 
1.0%
205 54
 
0.9%
227 54
 
0.9%
226 52
 
0.9%
232 52
 
0.9%
217 52
 
0.9%
213 51
 
0.9%
Other values (246) 4690
78.2%
ValueCountFrequency (%)
0 820
13.7%
1 6
 
0.1%
2 12
 
0.2%
3 10
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 36
0.6%
254 3
 
0.1%
253 6
 
0.1%
252 7
 
0.1%
251 7
 
0.1%

547
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.7255
Minimum0
Maximum255
Zeros439
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:00.414369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189
median170
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)124

Descriptive statistics

Standard deviation76.73388972
Coefficient of variation (CV)0.5194356406
Kurtosis-0.9092370278
Mean147.7255
Median Absolute Deviation (MAD)52
Skewness-0.6002078196
Sum886353
Variance5888.089831
MonotonicityNot monotonic
2025-03-21T22:40:00.476103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439
 
7.3%
224 66
 
1.1%
206 60
 
1.0%
228 60
 
1.0%
216 59
 
1.0%
255 59
 
1.0%
230 57
 
0.9%
227 55
 
0.9%
217 55
 
0.9%
211 54
 
0.9%
Other values (246) 5036
83.9%
ValueCountFrequency (%)
0 439
7.3%
1 9
 
0.1%
2 12
 
0.2%
3 6
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 59
1.0%
254 13
 
0.2%
253 11
 
0.2%
252 8
 
0.1%
251 5
 
0.1%

548
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.5598333
Minimum0
Maximum255
Zeros316
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:00.536574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1102
median179
Q3216
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation73.69513043
Coefficient of variation (CV)0.4768064822
Kurtosis-0.6983077208
Mean154.5598333
Median Absolute Deviation (MAD)46
Skewness-0.7102094674
Sum927359
Variance5430.972249
MonotonicityNot monotonic
2025-03-21T22:40:00.600554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 316
 
5.3%
228 73
 
1.2%
229 73
 
1.2%
224 71
 
1.2%
217 67
 
1.1%
218 62
 
1.0%
220 60
 
1.0%
227 59
 
1.0%
211 58
 
1.0%
213 58
 
1.0%
Other values (246) 5103
85.0%
ValueCountFrequency (%)
0 316
5.3%
1 9
 
0.1%
2 6
 
0.1%
3 6
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 52
0.9%
254 7
 
0.1%
253 8
 
0.1%
252 9
 
0.1%
251 8
 
0.1%

549
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.7311667
Minimum0
Maximum255
Zeros347
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:00.662472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q196
median175
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)118

Descriptive statistics

Standard deviation74.64483151
Coefficient of variation (CV)0.4919545084
Kurtosis-0.782579443
Mean151.7311667
Median Absolute Deviation (MAD)48
Skewness-0.6635226846
Sum910387
Variance5571.85087
MonotonicityNot monotonic
2025-03-21T22:40:00.726323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 347
 
5.8%
255 77
 
1.3%
217 72
 
1.2%
211 65
 
1.1%
220 61
 
1.0%
221 60
 
1.0%
225 56
 
0.9%
213 56
 
0.9%
215 55
 
0.9%
216 55
 
0.9%
Other values (246) 5096
84.9%
ValueCountFrequency (%)
0 347
5.8%
1 16
 
0.3%
2 7
 
0.1%
3 12
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 77
1.3%
254 7
 
0.1%
253 11
 
0.2%
252 10
 
0.2%
251 6
 
0.1%

550
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.9865
Minimum0
Maximum255
Zeros533
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:00.786740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181
median166
Q3211
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)130

Descriptive statistics

Standard deviation79.02098268
Coefficient of variation (CV)0.5488082749
Kurtosis-1.017793772
Mean143.9865
Median Absolute Deviation (MAD)55
Skewness-0.5320234046
Sum863919
Variance6244.315704
MonotonicityNot monotonic
2025-03-21T22:40:00.849998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 533
 
8.9%
255 113
 
1.9%
220 59
 
1.0%
217 57
 
0.9%
211 57
 
0.9%
208 53
 
0.9%
219 53
 
0.9%
223 52
 
0.9%
224 51
 
0.9%
225 48
 
0.8%
Other values (246) 4924
82.1%
ValueCountFrequency (%)
0 533
8.9%
1 22
 
0.4%
2 11
 
0.2%
3 13
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 113
1.9%
254 14
 
0.2%
253 16
 
0.3%
252 14
 
0.2%
251 18
 
0.3%

551
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.2525
Minimum0
Maximum255
Zeros969
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:00.911497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139
median141.5
Q3207
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)168

Descriptive statistics

Standard deviation86.76146996
Coefficient of variation (CV)0.687205956
Kurtosis-1.422278151
Mean126.2525
Median Absolute Deviation (MAD)75.5
Skewness-0.2149458512
Sum757515
Variance7527.552669
MonotonicityNot monotonic
2025-03-21T22:40:00.973361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 969
 
16.2%
255 106
 
1.8%
223 53
 
0.9%
210 50
 
0.8%
227 49
 
0.8%
219 46
 
0.8%
209 46
 
0.8%
202 45
 
0.8%
217 44
 
0.7%
213 43
 
0.7%
Other values (246) 4549
75.8%
ValueCountFrequency (%)
0 969
16.2%
1 26
 
0.4%
2 27
 
0.4%
3 18
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 106
1.8%
254 25
 
0.4%
253 14
 
0.2%
252 12
 
0.2%
251 15
 
0.2%

552
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.3175
Minimum0
Maximum255
Zeros1470
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:01.034541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median104
Q3193
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation89.30674467
Coefficient of variation (CV)0.8400004201
Kurtosis-1.532111022
Mean106.3175
Median Absolute Deviation (MAD)95
Skewness0.1107755539
Sum637905
Variance7975.694643
MonotonicityNot monotonic
2025-03-21T22:40:01.098486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1470
 
24.5%
255 89
 
1.5%
1 44
 
0.7%
230 37
 
0.6%
222 36
 
0.6%
205 35
 
0.6%
215 34
 
0.6%
229 34
 
0.6%
207 33
 
0.5%
204 33
 
0.5%
Other values (246) 4155
69.2%
ValueCountFrequency (%)
0 1470
24.5%
1 44
 
0.7%
2 30
 
0.5%
3 22
 
0.4%
4 25
 
0.4%
ValueCountFrequency (%)
255 89
1.5%
254 13
 
0.2%
253 10
 
0.2%
252 15
 
0.2%
251 6
 
0.1%

553
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.2935
Minimum0
Maximum255
Zeros1928
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:01.160356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median93
Q3197
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.21456233
Coefficient of variation (CV)0.9210219841
Kurtosis-1.608923119
Mean102.2935
Median Absolute Deviation (MAD)93
Skewness0.1798346713
Sum613761
Variance8876.383755
MonotonicityNot monotonic
2025-03-21T22:40:01.221220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1928
32.1%
255 106
 
1.8%
225 46
 
0.8%
1 41
 
0.7%
209 36
 
0.6%
227 36
 
0.6%
226 35
 
0.6%
211 35
 
0.6%
190 35
 
0.6%
207 34
 
0.6%
Other values (246) 3668
61.1%
ValueCountFrequency (%)
0 1928
32.1%
1 41
 
0.7%
2 30
 
0.5%
3 23
 
0.4%
4 24
 
0.4%
ValueCountFrequency (%)
255 106
1.8%
254 31
 
0.5%
253 16
 
0.3%
252 18
 
0.3%
251 10
 
0.2%

554
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.2755
Minimum0
Maximum255
Zeros2043
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:01.280910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median87
Q3197
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation95.19046593
Coefficient of variation (CV)0.9588515387
Kurtosis-1.610972373
Mean99.2755
Median Absolute Deviation (MAD)87
Skewness0.2266210653
Sum595653
Variance9061.224804
MonotonicityNot monotonic
2025-03-21T22:40:01.340559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2043
34.1%
255 112
 
1.9%
1 86
 
1.4%
2 61
 
1.0%
3 53
 
0.9%
205 37
 
0.6%
222 37
 
0.6%
229 36
 
0.6%
227 36
 
0.6%
208 36
 
0.6%
Other values (246) 3463
57.7%
ValueCountFrequency (%)
0 2043
34.1%
1 86
 
1.4%
2 61
 
1.0%
3 53
 
0.9%
4 28
 
0.5%
ValueCountFrequency (%)
255 112
1.9%
254 18
 
0.3%
253 22
 
0.4%
252 11
 
0.2%
251 14
 
0.2%

555
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.18066667
Minimum0
Maximum255
Zeros2245
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:01.400570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median61
Q3181
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)181

Descriptive statistics

Standard deviation91.12763065
Coefficient of variation (CV)1.033419616
Kurtosis-1.46081719
Mean88.18066667
Median Absolute Deviation (MAD)61
Skewness0.4018175437
Sum529084
Variance8304.245067
MonotonicityNot monotonic
2025-03-21T22:40:01.462004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2245
37.4%
1 91
 
1.5%
2 73
 
1.2%
255 68
 
1.1%
3 50
 
0.8%
205 35
 
0.6%
222 34
 
0.6%
215 31
 
0.5%
190 31
 
0.5%
230 30
 
0.5%
Other values (246) 3312
55.2%
ValueCountFrequency (%)
0 2245
37.4%
1 91
 
1.5%
2 73
 
1.2%
3 50
 
0.8%
4 28
 
0.5%
ValueCountFrequency (%)
255 68
1.1%
254 12
 
0.2%
253 9
 
0.1%
252 8
 
0.1%
251 7
 
0.1%

556
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.66883333
Minimum0
Maximum255
Zeros3027
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:01.521306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3143
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)143

Descriptive statistics

Standard deviation85.52535254
Coefficient of variation (CV)1.263880997
Kurtosis-0.9576801738
Mean67.66883333
Median Absolute Deviation (MAD)0
Skewness0.8064928171
Sum406013
Variance7314.585926
MonotonicityNot monotonic
2025-03-21T22:40:01.740975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3027
50.4%
1 33
 
0.5%
255 28
 
0.5%
204 26
 
0.4%
211 25
 
0.4%
223 25
 
0.4%
197 24
 
0.4%
210 23
 
0.4%
198 23
 
0.4%
215 23
 
0.4%
Other values (246) 2743
45.7%
ValueCountFrequency (%)
0 3027
50.4%
1 33
 
0.5%
2 22
 
0.4%
3 12
 
0.2%
4 20
 
0.3%
ValueCountFrequency (%)
255 28
0.5%
254 5
 
0.1%
253 5
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

557
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.05433333
Minimum0
Maximum255
Zeros3740
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:01.805058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3101
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)101

Descriptive statistics

Standard deviation81.062136
Coefficient of variation (CV)1.557260094
Kurtosis-0.1938457115
Mean52.05433333
Median Absolute Deviation (MAD)0
Skewness1.202502493
Sum312326
Variance6571.069893
MonotonicityNot monotonic
2025-03-21T22:40:01.866185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3740
62.3%
255 28
 
0.5%
216 26
 
0.4%
1 26
 
0.4%
2 24
 
0.4%
205 23
 
0.4%
218 22
 
0.4%
202 22
 
0.4%
209 22
 
0.4%
198 20
 
0.3%
Other values (245) 2047
34.1%
ValueCountFrequency (%)
0 3740
62.3%
1 26
 
0.4%
2 24
 
0.4%
3 10
 
0.2%
4 4
 
0.1%
ValueCountFrequency (%)
255 28
0.5%
254 2
 
< 0.1%
253 6
 
0.1%
251 2
 
< 0.1%
250 5
 
0.1%

558
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.8485
Minimum0
Maximum255
Zeros4117
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:01.926308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344
95-th percentile227.05
Maximum255
Range255
Interquartile range (IQR)44

Descriptive statistics

Standard deviation76.88252316
Coefficient of variation (CV)1.837163176
Kurtosis1.189395937
Mean41.8485
Median Absolute Deviation (MAD)0
Skewness1.649109773
Sum251091
Variance5910.922368
MonotonicityNot monotonic
2025-03-21T22:40:01.987338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4117
68.6%
255 87
 
1.5%
22 17
 
0.3%
65 16
 
0.3%
32 16
 
0.3%
225 15
 
0.2%
1 15
 
0.2%
2 14
 
0.2%
217 14
 
0.2%
30 14
 
0.2%
Other values (245) 1675
27.9%
ValueCountFrequency (%)
0 4117
68.6%
1 15
 
0.2%
2 14
 
0.2%
3 14
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 87
1.5%
254 5
 
0.1%
253 5
 
0.1%
252 9
 
0.1%
251 8
 
0.1%

559
Real number (ℝ)

Zeros 

Distinct181
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.71233333
Minimum0
Maximum215
Zeros4847
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:02.048000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile79
Maximum215
Range215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.77110962
Coefficient of variation (CV)2.779143319
Kurtosis12.46881389
Mean10.71233333
Median Absolute Deviation (MAD)0
Skewness3.420024726
Sum64274
Variance886.3189677
MonotonicityNot monotonic
2025-03-21T22:40:02.108802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4847
80.8%
1 27
 
0.4%
2 24
 
0.4%
3 22
 
0.4%
5 21
 
0.4%
6 20
 
0.3%
10 19
 
0.3%
17 19
 
0.3%
40 17
 
0.3%
29 17
 
0.3%
Other values (171) 967
 
16.1%
ValueCountFrequency (%)
0 4847
80.8%
1 27
 
0.4%
2 24
 
0.4%
3 22
 
0.4%
4 7
 
0.1%
ValueCountFrequency (%)
215 1
< 0.1%
205 2
< 0.1%
197 1
< 0.1%
196 1
< 0.1%
195 1
< 0.1%

560
Real number (ℝ)

Zeros 

Distinct166
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.389
Minimum0
Maximum224
Zeros5239
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:02.168029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile53
Maximum224
Range224
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.10642789
Coefficient of variation (CV)3.773114398
Kurtosis23.24047756
Mean6.389
Median Absolute Deviation (MAD)0
Skewness4.623978463
Sum38334
Variance581.1198656
MonotonicityNot monotonic
2025-03-21T22:40:02.228271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5239
87.3%
1 75
 
1.2%
2 48
 
0.8%
4 22
 
0.4%
3 18
 
0.3%
5 13
 
0.2%
19 12
 
0.2%
7 11
 
0.2%
40 11
 
0.2%
21 10
 
0.2%
Other values (156) 541
 
9.0%
ValueCountFrequency (%)
0 5239
87.3%
1 75
 
1.2%
2 48
 
0.8%
3 18
 
0.3%
4 22
 
0.4%
ValueCountFrequency (%)
224 1
< 0.1%
202 1
< 0.1%
195 2
< 0.1%
194 2
< 0.1%
189 1
< 0.1%

561
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.13483333
Minimum0
Maximum255
Zeros4855
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:02.288327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile177
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.56120494
Coefficient of variation (CV)2.628892505
Kurtosis6.02609915
Mean21.13483333
Median Absolute Deviation (MAD)0
Skewness2.682341052
Sum126809
Variance3087.047495
MonotonicityNot monotonic
2025-03-21T22:40:02.349118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4855
80.9%
1 55
 
0.9%
2 30
 
0.5%
3 22
 
0.4%
255 19
 
0.3%
4 12
 
0.2%
5 11
 
0.2%
9 11
 
0.2%
6 10
 
0.2%
186 10
 
0.2%
Other values (241) 965
 
16.1%
ValueCountFrequency (%)
0 4855
80.9%
1 55
 
0.9%
2 30
 
0.5%
3 22
 
0.4%
4 12
 
0.2%
ValueCountFrequency (%)
255 19
0.3%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%

562
Real number (ℝ)

Zeros 

Distinct252
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.97433333
Minimum0
Maximum255
Zeros4575
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:02.409469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile198
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.82240639
Coefficient of variation (CV)2.20272217
Kurtosis2.996048295
Mean28.97433333
Median Absolute Deviation (MAD)0
Skewness2.102273709
Sum173846
Variance4073.299558
MonotonicityNot monotonic
2025-03-21T22:40:02.469999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4575
76.2%
1 46
 
0.8%
3 19
 
0.3%
2 18
 
0.3%
255 16
 
0.3%
197 14
 
0.2%
49 14
 
0.2%
4 13
 
0.2%
210 11
 
0.2%
207 11
 
0.2%
Other values (242) 1263
 
21.1%
ValueCountFrequency (%)
0 4575
76.2%
1 46
 
0.8%
2 18
 
0.3%
3 19
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 16
0.3%
254 2
 
< 0.1%
252 4
 
0.1%
249 1
 
< 0.1%
248 1
 
< 0.1%

563
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.17683333
Minimum0
Maximum255
Zeros3959
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:02.529051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q363
95-th percentile211
Maximum255
Range255
Interquartile range (IQR)63

Descriptive statistics

Standard deviation73.05587193
Coefficient of variation (CV)1.732132694
Kurtosis0.826217426
Mean42.17683333
Median Absolute Deviation (MAD)0
Skewness1.519090025
Sum253061
Variance5337.160423
MonotonicityNot monotonic
2025-03-21T22:40:02.589229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3959
66.0%
1 47
 
0.8%
255 21
 
0.4%
3 19
 
0.3%
207 18
 
0.3%
2 17
 
0.3%
215 16
 
0.3%
199 16
 
0.3%
186 15
 
0.2%
93 15
 
0.2%
Other values (245) 1857
30.9%
ValueCountFrequency (%)
0 3959
66.0%
1 47
 
0.8%
2 17
 
0.3%
3 19
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 21
0.4%
254 6
 
0.1%
253 2
 
< 0.1%
252 4
 
0.1%
251 3
 
0.1%

564
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.05533333
Minimum0
Maximum255
Zeros2939
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:02.649238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3136
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)136

Descriptive statistics

Standard deviation84.22337483
Coefficient of variation (CV)1.275042765
Kurtosis-0.823169402
Mean66.05533333
Median Absolute Deviation (MAD)1
Skewness0.852274916
Sum396332
Variance7093.576868
MonotonicityNot monotonic
2025-03-21T22:40:02.715091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2939
49.0%
1 78
 
1.3%
255 59
 
1.0%
2 48
 
0.8%
3 34
 
0.6%
218 27
 
0.4%
4 23
 
0.4%
211 22
 
0.4%
216 22
 
0.4%
118 20
 
0.3%
Other values (246) 2728
45.5%
ValueCountFrequency (%)
0 2939
49.0%
1 78
 
1.3%
2 48
 
0.8%
3 34
 
0.6%
4 23
 
0.4%
ValueCountFrequency (%)
255 59
1.0%
254 11
 
0.2%
253 7
 
0.1%
252 6
 
0.1%
251 9
 
0.1%

565
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.21766667
Minimum0
Maximum255
Zeros2407
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:02.776459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median35
Q3177
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)177

Descriptive statistics

Standard deviation92.35367068
Coefficient of variation (CV)1.109784429
Kurtosis-1.377736143
Mean83.21766667
Median Absolute Deviation (MAD)35
Skewness0.5208015641
Sum499306
Variance8529.200488
MonotonicityNot monotonic
2025-03-21T22:40:02.838201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2407
40.1%
1 106
 
1.8%
255 98
 
1.6%
2 78
 
1.3%
3 74
 
1.2%
4 41
 
0.7%
216 34
 
0.6%
230 32
 
0.5%
195 31
 
0.5%
220 30
 
0.5%
Other values (246) 3069
51.1%
ValueCountFrequency (%)
0 2407
40.1%
1 106
 
1.8%
2 78
 
1.3%
3 74
 
1.2%
4 41
 
0.7%
ValueCountFrequency (%)
255 98
1.6%
254 18
 
0.3%
253 15
 
0.2%
252 13
 
0.2%
251 9
 
0.1%

566
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.7065
Minimum0
Maximum255
Zeros2299
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.049755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median63
Q3188
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation94.26941256
Coefficient of variation (CV)1.027946902
Kurtosis-1.507243857
Mean91.7065
Median Absolute Deviation (MAD)63
Skewness0.3756378723
Sum550239
Variance8886.722145
MonotonicityNot monotonic
2025-03-21T22:40:03.112532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2299
38.3%
255 138
 
2.3%
1 49
 
0.8%
2 46
 
0.8%
3 43
 
0.7%
224 34
 
0.6%
220 33
 
0.5%
225 31
 
0.5%
214 31
 
0.5%
217 30
 
0.5%
Other values (246) 3266
54.4%
ValueCountFrequency (%)
0 2299
38.3%
1 49
 
0.8%
2 46
 
0.8%
3 43
 
0.7%
4 20
 
0.3%
ValueCountFrequency (%)
255 138
2.3%
254 22
 
0.4%
253 11
 
0.2%
252 9
 
0.1%
251 9
 
0.1%

567
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.29516667
Minimum0
Maximum255
Zeros1899
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.172244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3184
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation89.88863316
Coefficient of variation (CV)0.9432653964
Kurtosis-1.471347336
Mean95.29516667
Median Absolute Deviation (MAD)80
Skewness0.3034392564
Sum571771
Variance8079.966371
MonotonicityNot monotonic
2025-03-21T22:40:03.233396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1899
31.6%
255 95
 
1.6%
1 39
 
0.7%
220 35
 
0.6%
213 34
 
0.6%
2 33
 
0.5%
206 33
 
0.5%
219 30
 
0.5%
200 29
 
0.5%
210 29
 
0.5%
Other values (246) 3744
62.4%
ValueCountFrequency (%)
0 1899
31.6%
1 39
 
0.7%
2 33
 
0.5%
3 18
 
0.3%
4 16
 
0.3%
ValueCountFrequency (%)
255 95
1.6%
254 10
 
0.2%
253 7
 
0.1%
252 9
 
0.1%
251 13
 
0.2%

568
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.9346667
Minimum0
Maximum255
Zeros1393
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.293550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median121
Q3197
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation88.33413582
Coefficient of variation (CV)0.7753051675
Kurtosis-1.491358477
Mean113.9346667
Median Absolute Deviation (MAD)86
Skewness-0.02998181917
Sum683608
Variance7802.919551
MonotonicityNot monotonic
2025-03-21T22:40:03.356777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1393
 
23.2%
255 105
 
1.8%
204 40
 
0.7%
206 39
 
0.7%
199 38
 
0.6%
218 37
 
0.6%
209 36
 
0.6%
228 35
 
0.6%
193 34
 
0.6%
224 34
 
0.6%
Other values (246) 4209
70.2%
ValueCountFrequency (%)
0 1393
23.2%
1 20
 
0.3%
2 18
 
0.3%
3 13
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 105
1.8%
254 13
 
0.2%
253 13
 
0.2%
252 12
 
0.2%
251 15
 
0.2%

569
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.83
Minimum0
Maximum255
Zeros905
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.418103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q157
median154
Q3209
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)152

Descriptive statistics

Standard deviation84.69913473
Coefficient of variation (CV)0.6328860101
Kurtosis-1.279283993
Mean133.83
Median Absolute Deviation (MAD)65
Skewness-0.3694629233
Sum802980
Variance7173.943424
MonotonicityNot monotonic
2025-03-21T22:40:03.479747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 905
 
15.1%
255 126
 
2.1%
226 52
 
0.9%
195 49
 
0.8%
217 48
 
0.8%
227 46
 
0.8%
192 46
 
0.8%
220 46
 
0.8%
225 45
 
0.8%
208 45
 
0.8%
Other values (246) 4592
76.5%
ValueCountFrequency (%)
0 905
15.1%
1 18
 
0.3%
2 14
 
0.2%
3 5
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 126
2.1%
254 25
 
0.4%
253 13
 
0.2%
252 11
 
0.2%
251 14
 
0.2%

570
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.4358333
Minimum0
Maximum255
Zeros607
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.540606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q186
median167
Q3212
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation78.51424688
Coefficient of variation (CV)0.5398548974
Kurtosis-0.9339407427
Mean145.4358333
Median Absolute Deviation (MAD)54
Skewness-0.5871524613
Sum872615
Variance6164.486964
MonotonicityNot monotonic
2025-03-21T22:40:03.603280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 607
 
10.1%
255 55
 
0.9%
228 54
 
0.9%
217 54
 
0.9%
225 54
 
0.9%
211 53
 
0.9%
226 53
 
0.9%
227 53
 
0.9%
220 52
 
0.9%
231 51
 
0.9%
Other values (246) 4914
81.9%
ValueCountFrequency (%)
0 607
10.1%
1 11
 
0.2%
2 9
 
0.1%
3 7
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
255 55
0.9%
254 12
 
0.2%
253 11
 
0.2%
252 8
 
0.1%
251 13
 
0.2%

571
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.1025
Minimum0
Maximum255
Zeros561
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.664239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q193
median174
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)121

Descriptive statistics

Standard deviation77.53484767
Coefficient of variation (CV)0.5200103799
Kurtosis-0.8280346328
Mean149.1025
Median Absolute Deviation (MAD)50
Skewness-0.6719874815
Sum894615
Variance6011.652603
MonotonicityNot monotonic
2025-03-21T22:40:03.731063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 561
 
9.3%
227 66
 
1.1%
230 65
 
1.1%
222 64
 
1.1%
213 62
 
1.0%
212 60
 
1.0%
216 59
 
1.0%
228 58
 
1.0%
219 57
 
0.9%
224 56
 
0.9%
Other values (245) 4892
81.5%
ValueCountFrequency (%)
0 561
9.3%
1 16
 
0.3%
2 9
 
0.1%
3 3
 
0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
255 48
0.8%
254 2
 
< 0.1%
253 5
 
0.1%
252 10
 
0.2%
251 13
 
0.2%

572
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.9866667
Minimum0
Maximum255
Zeros577
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.793176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189
median172
Q3215
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation78.4568102
Coefficient of variation (CV)0.5301613447
Kurtosis-0.8937430692
Mean147.9866667
Median Absolute Deviation (MAD)52
Skewness-0.6324114464
Sum887920
Variance6155.471067
MonotonicityNot monotonic
2025-03-21T22:40:03.856073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 577
 
9.6%
228 89
 
1.5%
217 61
 
1.0%
229 59
 
1.0%
223 59
 
1.0%
230 59
 
1.0%
215 56
 
0.9%
220 55
 
0.9%
226 55
 
0.9%
233 55
 
0.9%
Other values (246) 4875
81.2%
ValueCountFrequency (%)
0 577
9.6%
1 15
 
0.2%
2 9
 
0.1%
3 7
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
255 53
0.9%
254 10
 
0.2%
253 16
 
0.3%
252 8
 
0.1%
251 3
 
0.1%

573
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.0538333
Minimum0
Maximum255
Zeros824
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:03.918127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median160
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.72086028
Coefficient of variation (CV)0.6035647327
Kurtosis-1.205244876
Mean137.0538333
Median Absolute Deviation (MAD)61
Skewness-0.4597005753
Sum822323
Variance6842.740725
MonotonicityNot monotonic
2025-03-21T22:40:03.983484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 824
 
13.7%
218 61
 
1.0%
228 59
 
1.0%
229 57
 
0.9%
208 56
 
0.9%
225 53
 
0.9%
231 53
 
0.9%
204 52
 
0.9%
214 51
 
0.9%
233 50
 
0.8%
Other values (246) 4684
78.1%
ValueCountFrequency (%)
0 824
13.7%
1 14
 
0.2%
2 11
 
0.2%
3 5
 
0.1%
4 11
 
0.2%
ValueCountFrequency (%)
255 43
0.7%
254 4
 
0.1%
253 11
 
0.2%
252 4
 
0.1%
251 5
 
0.1%

574
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.2173333
Minimum0
Maximum255
Zeros1042
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:04.044985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149
median154
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)160

Descriptive statistics

Standard deviation85.50275953
Coefficient of variation (CV)0.6516117753
Kurtosis-1.345557982
Mean131.2173333
Median Absolute Deviation (MAD)65
Skewness-0.3802572052
Sum787304
Variance7310.721887
MonotonicityNot monotonic
2025-03-21T22:40:04.107962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1042
 
17.4%
219 62
 
1.0%
215 61
 
1.0%
230 55
 
0.9%
217 54
 
0.9%
231 53
 
0.9%
210 51
 
0.9%
211 50
 
0.8%
214 49
 
0.8%
228 49
 
0.8%
Other values (246) 4474
74.6%
ValueCountFrequency (%)
0 1042
17.4%
1 14
 
0.2%
2 17
 
0.3%
3 4
 
0.1%
4 10
 
0.2%
ValueCountFrequency (%)
255 28
0.5%
254 7
 
0.1%
253 6
 
0.1%
252 8
 
0.1%
251 3
 
0.1%

575
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.1288333
Minimum0
Maximum255
Zeros725
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:04.167924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171
median164
Q3211
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation81.51966518
Coefficient of variation (CV)0.5817479761
Kurtosis-1.134874006
Mean140.1288333
Median Absolute Deviation (MAD)58
Skewness-0.4992259166
Sum840773
Variance6645.455811
MonotonicityNot monotonic
2025-03-21T22:40:04.380569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 725
 
12.1%
226 63
 
1.1%
255 59
 
1.0%
225 59
 
1.0%
217 54
 
0.9%
231 53
 
0.9%
220 52
 
0.9%
211 52
 
0.9%
215 52
 
0.9%
224 51
 
0.9%
Other values (246) 4780
79.7%
ValueCountFrequency (%)
0 725
12.1%
1 12
 
0.2%
2 8
 
0.1%
3 7
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 59
1.0%
254 12
 
0.2%
253 9
 
0.1%
252 4
 
0.1%
251 6
 
0.1%

576
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.6006667
Minimum0
Maximum255
Zeros627
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:04.440170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q185
median173
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation80.16155674
Coefficient of variation (CV)0.5468021296
Kurtosis-0.9703265883
Mean146.6006667
Median Absolute Deviation (MAD)52
Skewness-0.6149431881
Sum879604
Variance6425.875179
MonotonicityNot monotonic
2025-03-21T22:40:04.502966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 627
 
10.4%
211 71
 
1.2%
214 68
 
1.1%
224 61
 
1.0%
226 60
 
1.0%
255 59
 
1.0%
225 58
 
1.0%
229 58
 
1.0%
222 58
 
1.0%
219 56
 
0.9%
Other values (246) 4824
80.4%
ValueCountFrequency (%)
0 627
10.4%
1 12
 
0.2%
2 9
 
0.1%
3 9
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 59
1.0%
254 11
 
0.2%
253 7
 
0.1%
252 9
 
0.1%
251 11
 
0.2%

577
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.7113333
Minimum0
Maximum255
Zeros673
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:04.566096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179
median168.5
Q3213
95-th percentile238.05
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation80.87662936
Coefficient of variation (CV)0.5627714077
Kurtosis-1.042826933
Mean143.7113333
Median Absolute Deviation (MAD)54.5
Skewness-0.567457221
Sum862268
Variance6541.029176
MonotonicityNot monotonic
2025-03-21T22:40:04.629638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 673
 
11.2%
255 65
 
1.1%
217 63
 
1.1%
225 59
 
1.0%
232 59
 
1.0%
215 57
 
0.9%
229 56
 
0.9%
228 55
 
0.9%
211 54
 
0.9%
205 54
 
0.9%
Other values (246) 4805
80.1%
ValueCountFrequency (%)
0 673
11.2%
1 22
 
0.4%
2 10
 
0.2%
3 8
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 65
1.1%
254 7
 
0.1%
253 12
 
0.2%
252 8
 
0.1%
251 8
 
0.1%

578
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.1771667
Minimum0
Maximum255
Zeros850
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:04.694277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q159
median154
Q3209
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)150

Descriptive statistics

Standard deviation83.90638728
Coefficient of variation (CV)0.6253402823
Kurtosis-1.268835593
Mean134.1771667
Median Absolute Deviation (MAD)65
Skewness-0.3767961458
Sum805063
Variance7040.281826
MonotonicityNot monotonic
2025-03-21T22:40:04.755887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 850
 
14.2%
255 103
 
1.7%
216 56
 
0.9%
217 52
 
0.9%
225 51
 
0.9%
208 49
 
0.8%
220 47
 
0.8%
231 46
 
0.8%
226 45
 
0.8%
221 45
 
0.8%
Other values (246) 4656
77.6%
ValueCountFrequency (%)
0 850
14.2%
1 20
 
0.3%
2 19
 
0.3%
3 17
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 103
1.7%
254 18
 
0.3%
253 14
 
0.2%
252 12
 
0.2%
251 4
 
0.1%

579
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.4975
Minimum0
Maximum255
Zeros1280
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:04.819562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median126
Q3202
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation88.93832694
Coefficient of variation (CV)0.7569380364
Kurtosis-1.507527357
Mean117.4975
Median Absolute Deviation (MAD)85
Skewness-0.08057186948
Sum704985
Variance7910.025998
MonotonicityNot monotonic
2025-03-21T22:40:04.883848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1280
 
21.3%
255 98
 
1.6%
216 45
 
0.8%
215 42
 
0.7%
213 42
 
0.7%
214 40
 
0.7%
229 40
 
0.7%
217 39
 
0.7%
224 39
 
0.7%
204 39
 
0.7%
Other values (246) 4296
71.6%
ValueCountFrequency (%)
0 1280
21.3%
1 36
 
0.6%
2 26
 
0.4%
3 15
 
0.2%
4 20
 
0.3%
ValueCountFrequency (%)
255 98
1.6%
254 23
 
0.4%
253 13
 
0.2%
252 14
 
0.2%
251 15
 
0.2%

580
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.52733333
Minimum0
Maximum255
Zeros1772
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:04.946220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84
Q3188
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation89.41520806
Coefficient of variation (CV)0.9168220334
Kurtosis-1.491748771
Mean97.52733333
Median Absolute Deviation (MAD)84
Skewness0.2605860916
Sum585164
Variance7995.079433
MonotonicityNot monotonic
2025-03-21T22:40:05.007234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1772
29.5%
255 72
 
1.2%
1 43
 
0.7%
2 36
 
0.6%
216 33
 
0.5%
3 32
 
0.5%
204 31
 
0.5%
193 31
 
0.5%
222 31
 
0.5%
228 30
 
0.5%
Other values (246) 3889
64.8%
ValueCountFrequency (%)
0 1772
29.5%
1 43
 
0.7%
2 36
 
0.6%
3 32
 
0.5%
4 13
 
0.2%
ValueCountFrequency (%)
255 72
1.2%
254 18
 
0.3%
253 9
 
0.1%
252 5
 
0.1%
251 7
 
0.1%

581
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.17716667
Minimum0
Maximum255
Zeros2156
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:05.068824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68
Q3190
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation93.3220139
Coefficient of variation (CV)1.001554536
Kurtosis-1.5225533
Mean93.17716667
Median Absolute Deviation (MAD)68
Skewness0.3466705297
Sum559063
Variance8708.998278
MonotonicityNot monotonic
2025-03-21T22:40:05.131764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2156
35.9%
255 99
 
1.7%
1 53
 
0.9%
2 42
 
0.7%
217 36
 
0.6%
211 36
 
0.6%
220 34
 
0.6%
227 34
 
0.6%
190 33
 
0.5%
222 31
 
0.5%
Other values (246) 3446
57.4%
ValueCountFrequency (%)
0 2156
35.9%
1 53
 
0.9%
2 42
 
0.7%
3 29
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
255 99
1.7%
254 11
 
0.2%
253 12
 
0.2%
252 17
 
0.3%
251 9
 
0.1%

582
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.08116667
Minimum0
Maximum255
Zeros2304
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:05.191057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median61.5
Q3191
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation94.96764916
Coefficient of variation (CV)1.031347154
Kurtosis-1.545102315
Mean92.08116667
Median Absolute Deviation (MAD)61.5
Skewness0.3587251546
Sum552487
Variance9018.854388
MonotonicityNot monotonic
2025-03-21T22:40:05.252905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2304
38.4%
255 108
 
1.8%
1 77
 
1.3%
2 55
 
0.9%
3 43
 
0.7%
222 39
 
0.7%
4 39
 
0.7%
206 37
 
0.6%
221 35
 
0.6%
198 33
 
0.5%
Other values (246) 3230
53.8%
ValueCountFrequency (%)
0 2304
38.4%
1 77
 
1.3%
2 55
 
0.9%
3 43
 
0.7%
4 39
 
0.7%
ValueCountFrequency (%)
255 108
1.8%
254 21
 
0.4%
253 17
 
0.3%
252 10
 
0.2%
251 14
 
0.2%

583
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.64683333
Minimum0
Maximum255
Zeros2462
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:05.313530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39
Q3173
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)173

Descriptive statistics

Standard deviation90.09862966
Coefficient of variation (CV)1.103516523
Kurtosis-1.348957362
Mean81.64683333
Median Absolute Deviation (MAD)39
Skewness0.5241556012
Sum489881
Variance8117.763067
MonotonicityNot monotonic
2025-03-21T22:40:05.374947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2462
41.0%
1 99
 
1.7%
2 75
 
1.2%
255 59
 
1.0%
3 47
 
0.8%
4 38
 
0.6%
210 33
 
0.5%
197 31
 
0.5%
206 30
 
0.5%
215 29
 
0.5%
Other values (246) 3097
51.6%
ValueCountFrequency (%)
0 2462
41.0%
1 99
 
1.7%
2 75
 
1.2%
3 47
 
0.8%
4 38
 
0.6%
ValueCountFrequency (%)
255 59
1.0%
254 16
 
0.3%
253 10
 
0.2%
252 3
 
0.1%
251 6
 
0.1%

584
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.33133333
Minimum0
Maximum255
Zeros3250
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:05.434519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3127
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation82.86352401
Coefficient of variation (CV)1.351079775
Kurtosis-0.6852202575
Mean61.33133333
Median Absolute Deviation (MAD)0
Skewness0.9489833057
Sum367988
Variance6866.363612
MonotonicityNot monotonic
2025-03-21T22:40:05.497830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3250
54.2%
1 42
 
0.7%
211 26
 
0.4%
177 23
 
0.4%
212 23
 
0.4%
2 22
 
0.4%
217 21
 
0.4%
198 21
 
0.4%
220 20
 
0.3%
234 20
 
0.3%
Other values (246) 2532
42.2%
ValueCountFrequency (%)
0 3250
54.2%
1 42
 
0.7%
2 22
 
0.4%
3 19
 
0.3%
4 8
 
0.1%
ValueCountFrequency (%)
255 16
0.3%
254 8
0.1%
253 6
 
0.1%
252 2
 
< 0.1%
251 4
 
0.1%

585
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.0945
Minimum0
Maximum255
Zeros3992
Zeros (%)66.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:05.560260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366
95-th percentile217
Maximum255
Range255
Interquartile range (IQR)66

Descriptive statistics

Standard deviation77.14495097
Coefficient of variation (CV)1.71073969
Kurtosis0.4464482038
Mean45.0945
Median Absolute Deviation (MAD)0
Skewness1.429212915
Sum270567
Variance5951.34346
MonotonicityNot monotonic
2025-03-21T22:40:05.776116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3992
66.5%
255 31
 
0.5%
1 28
 
0.5%
198 20
 
0.3%
208 20
 
0.3%
213 19
 
0.3%
224 18
 
0.3%
202 18
 
0.3%
132 17
 
0.3%
207 17
 
0.3%
Other values (246) 1820
30.3%
ValueCountFrequency (%)
0 3992
66.5%
1 28
 
0.5%
2 13
 
0.2%
3 10
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 31
0.5%
254 3
 
0.1%
253 3
 
0.1%
252 5
 
0.1%
251 2
 
< 0.1%

586
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.56533333
Minimum0
Maximum255
Zeros4419
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:05.836767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)5

Descriptive statistics

Standard deviation70.65654574
Coefficient of variation (CV)2.105045257
Kurtosis2.546494744
Mean33.56533333
Median Absolute Deviation (MAD)0
Skewness2.002896316
Sum201392
Variance4992.347456
MonotonicityNot monotonic
2025-03-21T22:40:05.897391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4419
73.7%
255 66
 
1.1%
1 30
 
0.5%
2 21
 
0.4%
8 17
 
0.3%
230 17
 
0.3%
227 15
 
0.2%
35 14
 
0.2%
7 13
 
0.2%
156 12
 
0.2%
Other values (244) 1376
 
22.9%
ValueCountFrequency (%)
0 4419
73.7%
1 30
 
0.5%
2 21
 
0.4%
3 11
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 66
1.1%
254 10
 
0.2%
253 6
 
0.1%
252 9
 
0.1%
251 3
 
0.1%

587
Real number (ℝ)

Zeros 

Distinct178
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.095333333
Minimum0
Maximum220
Zeros5109
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:05.957414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile64
Maximum220
Range220
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.83245998
Coefficient of variation (CV)3.314559002
Kurtosis18.85693685
Mean8.095333333
Median Absolute Deviation (MAD)0
Skewness4.159320839
Sum48572
Variance719.9809084
MonotonicityNot monotonic
2025-03-21T22:40:06.017957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5109
85.2%
1 45
 
0.8%
2 26
 
0.4%
3 17
 
0.3%
20 16
 
0.3%
7 15
 
0.2%
5 15
 
0.2%
28 15
 
0.2%
4 14
 
0.2%
14 14
 
0.2%
Other values (168) 714
 
11.9%
ValueCountFrequency (%)
0 5109
85.2%
1 45
 
0.8%
2 26
 
0.4%
3 17
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
220 1
< 0.1%
219 1
< 0.1%
211 1
< 0.1%
207 2
< 0.1%
206 1
< 0.1%

588
Real number (ℝ)

Zeros 

Distinct162
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6275
Minimum0
Maximum249
Zeros5366
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.079544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42.05
Maximum249
Range249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.19068157
Coefficient of variation (CV)4.120956299
Kurtosis29.07219723
Mean5.6275
Median Absolute Deviation (MAD)0
Skewness5.112197912
Sum33765
Variance537.8077117
MonotonicityNot monotonic
2025-03-21T22:40:06.142203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5366
89.4%
1 50
 
0.8%
2 35
 
0.6%
4 17
 
0.3%
3 16
 
0.3%
7 14
 
0.2%
6 11
 
0.2%
32 9
 
0.1%
30 8
 
0.1%
51 8
 
0.1%
Other values (152) 466
 
7.8%
ValueCountFrequency (%)
0 5366
89.4%
1 50
 
0.8%
2 35
 
0.6%
3 16
 
0.3%
4 17
 
0.3%
ValueCountFrequency (%)
249 1
< 0.1%
238 1
< 0.1%
224 1
< 0.1%
222 1
< 0.1%
209 1
< 0.1%

589
Real number (ℝ)

Zeros 

Distinct243
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.58366667
Minimum0
Maximum255
Zeros5039
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.203044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.10541433
Coefficient of variation (CV)2.857639199
Kurtosis7.509801894
Mean18.58366667
Median Absolute Deviation (MAD)0
Skewness2.93616924
Sum111502
Variance2820.185031
MonotonicityNot monotonic
2025-03-21T22:40:06.264623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5039
84.0%
1 35
 
0.6%
2 27
 
0.4%
255 21
 
0.4%
3 16
 
0.3%
4 15
 
0.2%
151 13
 
0.2%
160 9
 
0.1%
204 9
 
0.1%
129 9
 
0.1%
Other values (233) 807
 
13.5%
ValueCountFrequency (%)
0 5039
84.0%
1 35
 
0.6%
2 27
 
0.4%
3 16
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 21
0.4%
253 1
 
< 0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%
250 3
 
0.1%

590
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.15733333
Minimum0
Maximum255
Zeros4764
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.325851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile195
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.92134491
Coefficient of variation (CV)2.367265199
Kurtosis3.732455097
Mean26.15733333
Median Absolute Deviation (MAD)0
Skewness2.271640413
Sum156944
Variance3834.252955
MonotonicityNot monotonic
2025-03-21T22:40:06.387401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4764
79.4%
1 41
 
0.7%
2 21
 
0.4%
186 13
 
0.2%
255 13
 
0.2%
5 11
 
0.2%
4 11
 
0.2%
196 11
 
0.2%
209 10
 
0.2%
182 10
 
0.2%
Other values (241) 1095
 
18.2%
ValueCountFrequency (%)
0 4764
79.4%
1 41
 
0.7%
2 21
 
0.4%
3 8
 
0.1%
4 11
 
0.2%
ValueCountFrequency (%)
255 13
0.2%
252 3
 
0.1%
251 1
 
< 0.1%
250 2
 
< 0.1%
249 4
 
0.1%

591
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.906
Minimum0
Maximum255
Zeros4181
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.448014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q343
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)43

Descriptive statistics

Standard deviation71.65003456
Coefficient of variation (CV)1.841619148
Kurtosis1.147955238
Mean38.906
Median Absolute Deviation (MAD)0
Skewness1.627449649
Sum233436
Variance5133.727452
MonotonicityNot monotonic
2025-03-21T22:40:06.507840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4181
69.7%
1 43
 
0.7%
3 22
 
0.4%
2 20
 
0.3%
255 18
 
0.3%
207 16
 
0.3%
168 15
 
0.2%
200 15
 
0.2%
204 14
 
0.2%
213 14
 
0.2%
Other values (244) 1642
 
27.4%
ValueCountFrequency (%)
0 4181
69.7%
1 43
 
0.7%
2 20
 
0.3%
3 22
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 18
0.3%
254 4
 
0.1%
253 2
 
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%

592
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.671
Minimum0
Maximum255
Zeros3240
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.568712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3130.25
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)130.25

Descriptive statistics

Standard deviation83.64321525
Coefficient of variation (CV)1.356281157
Kurtosis-0.6896243942
Mean61.671
Median Absolute Deviation (MAD)0
Skewness0.9414911887
Sum370026
Variance6996.187457
MonotonicityNot monotonic
2025-03-21T22:40:06.632729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3240
54.0%
1 66
 
1.1%
255 52
 
0.9%
2 44
 
0.7%
3 29
 
0.5%
213 23
 
0.4%
188 21
 
0.4%
190 21
 
0.4%
174 20
 
0.3%
209 19
 
0.3%
Other values (246) 2465
41.1%
ValueCountFrequency (%)
0 3240
54.0%
1 66
 
1.1%
2 44
 
0.7%
3 29
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 52
0.9%
254 6
 
0.1%
253 7
 
0.1%
252 2
 
< 0.1%
251 5
 
0.1%

593
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.43383333
Minimum0
Maximum255
Zeros2727
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.696032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3174
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)174

Descriptive statistics

Standard deviation92.80903445
Coefficient of variation (CV)1.183278064
Kurtosis-1.302444302
Mean78.43383333
Median Absolute Deviation (MAD)4
Skewness0.6132446044
Sum470603
Variance8613.516875
MonotonicityNot monotonic
2025-03-21T22:40:06.760324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2727
45.5%
1 91
 
1.5%
255 86
 
1.4%
2 78
 
1.3%
3 59
 
1.0%
4 48
 
0.8%
222 31
 
0.5%
198 29
 
0.5%
212 28
 
0.5%
200 27
 
0.4%
Other values (246) 2796
46.6%
ValueCountFrequency (%)
0 2727
45.5%
1 91
 
1.5%
2 78
 
1.3%
3 59
 
1.0%
4 48
 
0.8%
ValueCountFrequency (%)
255 86
1.4%
254 15
 
0.2%
253 11
 
0.2%
252 16
 
0.3%
251 10
 
0.2%

594
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.051
Minimum0
Maximum255
Zeros2629
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.822082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39.5
Q3185
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation94.6786481
Coefficient of variation (CV)1.100262032
Kurtosis-1.442315027
Mean86.051
Median Absolute Deviation (MAD)39.5
Skewness0.4773855302
Sum516306
Variance8964.046407
MonotonicityNot monotonic
2025-03-21T22:40:06.883398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2629
43.8%
255 130
 
2.2%
1 47
 
0.8%
2 37
 
0.6%
200 33
 
0.5%
203 32
 
0.5%
220 32
 
0.5%
224 30
 
0.5%
229 29
 
0.5%
193 29
 
0.5%
Other values (246) 2972
49.5%
ValueCountFrequency (%)
0 2629
43.8%
1 47
 
0.8%
2 37
 
0.6%
3 29
 
0.5%
4 24
 
0.4%
ValueCountFrequency (%)
255 130
2.2%
254 20
 
0.3%
253 7
 
0.1%
252 20
 
0.3%
251 9
 
0.1%

595
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.41683333
Minimum0
Maximum255
Zeros2237
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:06.943027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median62
Q3178
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation90.50294957
Coefficient of variation (CV)1.023594107
Kurtosis-1.412378769
Mean88.41683333
Median Absolute Deviation (MAD)62
Skewness0.4247451993
Sum530501
Variance8190.783881
MonotonicityNot monotonic
2025-03-21T22:40:07.005256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2237
37.3%
255 81
 
1.4%
1 39
 
0.7%
2 34
 
0.6%
224 30
 
0.5%
217 30
 
0.5%
235 29
 
0.5%
204 29
 
0.5%
210 29
 
0.5%
225 29
 
0.5%
Other values (246) 3433
57.2%
ValueCountFrequency (%)
0 2237
37.3%
1 39
 
0.7%
2 34
 
0.6%
3 26
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 81
1.4%
254 13
 
0.2%
253 12
 
0.2%
252 10
 
0.2%
251 4
 
0.1%

596
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.263
Minimum0
Maximum255
Zeros1724
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:07.220916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3196
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation91.29094609
Coefficient of variation (CV)0.8355156465
Kurtosis-1.553102614
Mean109.263
Median Absolute Deviation (MAD)97
Skewness0.044250381
Sum655578
Variance8334.036837
MonotonicityNot monotonic
2025-03-21T22:40:07.284391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1724
28.7%
255 122
 
2.0%
228 46
 
0.8%
220 42
 
0.7%
210 39
 
0.7%
224 38
 
0.6%
217 37
 
0.6%
221 37
 
0.6%
231 33
 
0.5%
237 33
 
0.5%
Other values (246) 3849
64.1%
ValueCountFrequency (%)
0 1724
28.7%
1 18
 
0.3%
2 17
 
0.3%
3 12
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 122
2.0%
254 22
 
0.4%
253 14
 
0.2%
252 16
 
0.3%
251 5
 
0.1%

597
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.537
Minimum0
Maximum255
Zeros1259
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:07.346196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135
median148
Q3208
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)173

Descriptive statistics

Standard deviation88.39348882
Coefficient of variation (CV)0.6930811358
Kurtosis-1.419516423
Mean127.537
Median Absolute Deviation (MAD)71
Skewness-0.2873410093
Sum765222
Variance7813.408866
MonotonicityNot monotonic
2025-03-21T22:40:07.409027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1259
 
21.0%
255 115
 
1.9%
227 54
 
0.9%
218 53
 
0.9%
208 51
 
0.9%
216 44
 
0.7%
213 44
 
0.7%
206 43
 
0.7%
226 43
 
0.7%
219 42
 
0.7%
Other values (246) 4252
70.9%
ValueCountFrequency (%)
0 1259
21.0%
1 12
 
0.2%
2 11
 
0.2%
3 7
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 115
1.9%
254 13
 
0.2%
253 13
 
0.2%
252 11
 
0.2%
251 14
 
0.2%

598
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.7896667
Minimum0
Maximum255
Zeros938
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:07.477842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q168.75
median163
Q3211.25
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)142.5

Descriptive statistics

Standard deviation83.63111534
Coefficient of variation (CV)0.6025745097
Kurtosis-1.157777074
Mean138.7896667
Median Absolute Deviation (MAD)59
Skewness-0.50396737
Sum832738
Variance6994.163454
MonotonicityNot monotonic
2025-03-21T22:40:07.547478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 938
 
15.6%
255 67
 
1.1%
220 64
 
1.1%
229 54
 
0.9%
218 54
 
0.9%
227 54
 
0.9%
223 52
 
0.9%
211 51
 
0.9%
216 51
 
0.9%
214 51
 
0.9%
Other values (246) 4564
76.1%
ValueCountFrequency (%)
0 938
15.6%
1 14
 
0.2%
2 6
 
0.1%
3 2
 
< 0.1%
4 3
 
0.1%
ValueCountFrequency (%)
255 67
1.1%
254 11
 
0.2%
253 9
 
0.1%
252 8
 
0.1%
251 7
 
0.1%

599
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.3808333
Minimum0
Maximum255
Zeros895
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:07.613095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median170
Q3215
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)138

Descriptive statistics

Standard deviation83.18412949
Coefficient of variation (CV)0.5801621288
Kurtosis-1.05571887
Mean143.3808333
Median Absolute Deviation (MAD)54
Skewness-0.5972584731
Sum860285
Variance6919.599399
MonotonicityNot monotonic
2025-03-21T22:40:07.675254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 895
 
14.9%
223 71
 
1.2%
228 71
 
1.2%
219 61
 
1.0%
217 60
 
1.0%
230 60
 
1.0%
227 59
 
1.0%
229 58
 
1.0%
200 57
 
0.9%
214 56
 
0.9%
Other values (246) 4552
75.9%
ValueCountFrequency (%)
0 895
14.9%
1 6
 
0.1%
2 7
 
0.1%
3 4
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 44
0.7%
254 8
 
0.1%
253 15
 
0.2%
252 8
 
0.1%
251 11
 
0.2%

600
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.7721667
Minimum0
Maximum255
Zeros921
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:07.736300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171
median168
Q3215
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation84.19471312
Coefficient of variation (CV)0.593873361
Kurtosis-1.128153469
Mean141.7721667
Median Absolute Deviation (MAD)57
Skewness-0.5453156084
Sum850633
Variance7088.749717
MonotonicityNot monotonic
2025-03-21T22:40:07.799959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
 
15.3%
255 68
 
1.1%
231 67
 
1.1%
227 65
 
1.1%
228 64
 
1.1%
230 64
 
1.1%
212 63
 
1.1%
229 60
 
1.0%
199 57
 
0.9%
215 55
 
0.9%
Other values (246) 4516
75.3%
ValueCountFrequency (%)
0 921
15.3%
1 2
 
< 0.1%
2 5
 
0.1%
3 6
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 68
1.1%
254 10
 
0.2%
253 8
 
0.1%
252 8
 
0.1%
251 15
 
0.2%

601
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.5226667
Minimum0
Maximum255
Zeros1166
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:07.862669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median153
Q3210
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)165

Descriptive statistics

Standard deviation87.04608161
Coefficient of variation (CV)0.6669039473
Kurtosis-1.373795682
Mean130.5226667
Median Absolute Deviation (MAD)67
Skewness-0.3597916039
Sum783136
Variance7577.020323
MonotonicityNot monotonic
2025-03-21T22:40:07.926500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1166
 
19.4%
215 65
 
1.1%
228 52
 
0.9%
224 51
 
0.9%
199 51
 
0.9%
232 51
 
0.9%
223 51
 
0.9%
225 50
 
0.8%
229 50
 
0.8%
219 50
 
0.8%
Other values (246) 4363
72.7%
ValueCountFrequency (%)
0 1166
19.4%
1 8
 
0.1%
2 2
 
< 0.1%
3 9
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 44
0.7%
254 8
 
0.1%
253 3
 
0.1%
252 7
 
0.1%
251 7
 
0.1%

602
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.1538333
Minimum0
Maximum255
Zeros1406
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:07.988751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median146
Q3207
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation89.70208607
Coefficient of variation (CV)0.7225075833
Kurtosis-1.504577572
Mean124.1538333
Median Absolute Deviation (MAD)73
Skewness-0.2690761347
Sum744923
Variance8046.464246
MonotonicityNot monotonic
2025-03-21T22:40:08.056086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1406
 
23.4%
216 53
 
0.9%
230 53
 
0.9%
219 52
 
0.9%
214 50
 
0.8%
229 47
 
0.8%
231 47
 
0.8%
215 47
 
0.8%
221 46
 
0.8%
206 45
 
0.8%
Other values (245) 4154
69.2%
ValueCountFrequency (%)
0 1406
23.4%
1 20
 
0.3%
2 6
 
0.1%
3 7
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 35
0.6%
254 8
 
0.1%
253 5
 
0.1%
252 4
 
0.1%
251 4
 
0.1%

603
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.016
Minimum0
Maximum255
Zeros1126
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:08.122227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median156
Q3211
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation87.11823388
Coefficient of variation (CV)0.6599066317
Kurtosis-1.350229814
Mean132.016
Median Absolute Deviation (MAD)66
Skewness-0.3720921183
Sum792096
Variance7589.586675
MonotonicityNot monotonic
2025-03-21T22:40:08.185216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1126
 
18.8%
255 75
 
1.2%
219 57
 
0.9%
230 56
 
0.9%
226 56
 
0.9%
228 54
 
0.9%
217 52
 
0.9%
221 49
 
0.8%
205 48
 
0.8%
210 46
 
0.8%
Other values (246) 4381
73.0%
ValueCountFrequency (%)
0 1126
18.8%
1 13
 
0.2%
2 12
 
0.2%
3 12
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 75
1.2%
254 8
 
0.1%
253 4
 
0.1%
252 9
 
0.1%
251 7
 
0.1%

604
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.4926667
Minimum0
Maximum255
Zeros1033
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:08.247454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q159
median165
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)155

Descriptive statistics

Standard deviation86.47498829
Coefficient of variation (CV)0.6289425494
Kurtosis-1.261004459
Mean137.4926667
Median Absolute Deviation (MAD)60
Skewness-0.4739930672
Sum824956
Variance7477.9236
MonotonicityNot monotonic
2025-03-21T22:40:08.308642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1033
 
17.2%
255 70
 
1.2%
230 65
 
1.1%
223 65
 
1.1%
226 58
 
1.0%
235 57
 
0.9%
214 55
 
0.9%
217 54
 
0.9%
218 54
 
0.9%
221 52
 
0.9%
Other values (246) 4437
74.0%
ValueCountFrequency (%)
0 1033
17.2%
1 16
 
0.3%
2 10
 
0.2%
3 9
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 70
1.2%
254 6
 
0.1%
253 7
 
0.1%
252 6
 
0.1%
251 10
 
0.2%

605
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.3725
Minimum0
Maximum255
Zeros1131
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:08.369767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median159
Q3212
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation87.50507757
Coefficient of variation (CV)0.6560953537
Kurtosis-1.342158024
Mean133.3725
Median Absolute Deviation (MAD)64
Skewness-0.4060967775
Sum800235
Variance7657.1386
MonotonicityNot monotonic
2025-03-21T22:40:08.434911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1131
 
18.9%
255 77
 
1.3%
218 64
 
1.1%
232 58
 
1.0%
221 57
 
0.9%
228 54
 
0.9%
231 53
 
0.9%
233 50
 
0.8%
227 49
 
0.8%
217 49
 
0.8%
Other values (245) 4358
72.6%
ValueCountFrequency (%)
0 1131
18.9%
1 20
 
0.3%
2 13
 
0.2%
3 7
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
255 77
1.3%
254 8
 
0.1%
253 2
 
< 0.1%
252 9
 
0.1%
251 9
 
0.1%

606
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.0121667
Minimum0
Maximum255
Zeros1307
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:08.508831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median141
Q3205
95-th percentile238.05
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation88.8510576
Coefficient of variation (CV)0.7222948755
Kurtosis-1.480788072
Mean123.0121667
Median Absolute Deviation (MAD)76
Skewness-0.218016181
Sum738073
Variance7894.510437
MonotonicityNot monotonic
2025-03-21T22:40:08.764867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1307
 
21.8%
255 93
 
1.6%
214 52
 
0.9%
205 50
 
0.8%
223 49
 
0.8%
219 48
 
0.8%
209 47
 
0.8%
227 44
 
0.7%
226 44
 
0.7%
197 43
 
0.7%
Other values (246) 4223
70.4%
ValueCountFrequency (%)
0 1307
21.8%
1 36
 
0.6%
2 22
 
0.4%
3 16
 
0.3%
4 10
 
0.2%
ValueCountFrequency (%)
255 93
1.6%
254 10
 
0.2%
253 12
 
0.2%
252 12
 
0.2%
251 13
 
0.2%

607
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.8896667
Minimum0
Maximum255
Zeros1717
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:08.830895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3198
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation91.58023431
Coefficient of variation (CV)0.8488323038
Kurtosis-1.575248564
Mean107.8896667
Median Absolute Deviation (MAD)100
Skewness0.06684077749
Sum647338
Variance8386.939316
MonotonicityNot monotonic
2025-03-21T22:40:08.903559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1717
28.6%
255 110
 
1.8%
223 42
 
0.7%
209 41
 
0.7%
232 41
 
0.7%
224 38
 
0.6%
195 38
 
0.6%
198 37
 
0.6%
200 36
 
0.6%
214 36
 
0.6%
Other values (246) 3864
64.4%
ValueCountFrequency (%)
0 1717
28.6%
1 33
 
0.5%
2 22
 
0.4%
3 15
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 110
1.8%
254 16
 
0.3%
253 13
 
0.2%
252 13
 
0.2%
251 12
 
0.2%

608
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.94833333
Minimum0
Maximum255
Zeros2184
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:08.974119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median63
Q3179
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation90.29691164
Coefficient of variation (CV)1.015161367
Kurtosis-1.424366188
Mean88.94833333
Median Absolute Deviation (MAD)63
Skewness0.4115312203
Sum533690
Variance8153.532253
MonotonicityNot monotonic
2025-03-21T22:40:09.042511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2184
36.4%
255 70
 
1.2%
1 53
 
0.9%
197 37
 
0.6%
2 35
 
0.6%
219 32
 
0.5%
221 30
 
0.5%
227 28
 
0.5%
222 28
 
0.5%
230 28
 
0.5%
Other values (246) 3475
57.9%
ValueCountFrequency (%)
0 2184
36.4%
1 53
 
0.9%
2 35
 
0.6%
3 20
 
0.3%
4 9
 
0.1%
ValueCountFrequency (%)
255 70
1.2%
254 11
 
0.2%
253 8
 
0.1%
252 11
 
0.2%
251 9
 
0.1%

609
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.00283333
Minimum0
Maximum255
Zeros2573
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:09.109300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median37
Q3181
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)181

Descriptive statistics

Standard deviation93.01525394
Coefficient of variation (CV)1.107287103
Kurtosis-1.406945712
Mean84.00283333
Median Absolute Deviation (MAD)37
Skewness0.508566944
Sum504017
Variance8651.837465
MonotonicityNot monotonic
2025-03-21T22:40:09.182341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2573
42.9%
255 85
 
1.4%
1 46
 
0.8%
2 36
 
0.6%
217 33
 
0.5%
218 33
 
0.5%
213 33
 
0.5%
223 32
 
0.5%
196 31
 
0.5%
3 30
 
0.5%
Other values (246) 3068
51.1%
ValueCountFrequency (%)
0 2573
42.9%
1 46
 
0.8%
2 36
 
0.6%
3 30
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 85
1.4%
254 16
 
0.3%
253 10
 
0.2%
252 4
 
0.1%
251 13
 
0.2%

610
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.143
Minimum0
Maximum255
Zeros2677
Zeros (%)44.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:09.257048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q3186
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation95.322073
Coefficient of variation (CV)1.132858027
Kurtosis-1.43765972
Mean84.143
Median Absolute Deviation (MAD)19
Skewness0.5106524188
Sum504858
Variance9086.297601
MonotonicityNot monotonic
2025-03-21T22:40:09.331671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2677
44.6%
255 124
 
2.1%
1 89
 
1.5%
2 54
 
0.9%
3 44
 
0.7%
223 37
 
0.6%
218 32
 
0.5%
225 32
 
0.5%
224 31
 
0.5%
216 29
 
0.5%
Other values (246) 2851
47.5%
ValueCountFrequency (%)
0 2677
44.6%
1 89
 
1.5%
2 54
 
0.9%
3 44
 
0.7%
4 20
 
0.3%
ValueCountFrequency (%)
255 124
2.1%
254 22
 
0.4%
253 16
 
0.3%
252 15
 
0.2%
251 9
 
0.1%

611
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.8915
Minimum0
Maximum255
Zeros2855
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:09.399940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3162
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation89.73714125
Coefficient of variation (CV)1.21444471
Kurtosis-1.187571624
Mean73.8915
Median Absolute Deviation (MAD)2
Skewness0.6799749585
Sum443349
Variance8052.75452
MonotonicityNot monotonic
2025-03-21T22:40:09.469071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2855
47.6%
1 93
 
1.6%
2 75
 
1.2%
255 56
 
0.9%
3 44
 
0.7%
216 29
 
0.5%
4 29
 
0.5%
212 29
 
0.5%
200 29
 
0.5%
202 28
 
0.5%
Other values (246) 2733
45.6%
ValueCountFrequency (%)
0 2855
47.6%
1 93
 
1.6%
2 75
 
1.2%
3 44
 
0.7%
4 29
 
0.5%
ValueCountFrequency (%)
255 56
0.9%
254 11
 
0.2%
253 10
 
0.2%
252 6
 
0.1%
251 7
 
0.1%

612
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.05716667
Minimum0
Maximum255
Zeros3622
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:09.535257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3108
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation80.638504
Coefficient of variation (CV)1.491726425
Kurtosis-0.3101925475
Mean54.05716667
Median Absolute Deviation (MAD)0
Skewness1.131490416
Sum324343
Variance6502.568327
MonotonicityNot monotonic
2025-03-21T22:40:09.604933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3622
60.4%
1 34
 
0.6%
201 20
 
0.3%
255 20
 
0.3%
80 19
 
0.3%
185 19
 
0.3%
195 19
 
0.3%
209 19
 
0.3%
220 19
 
0.3%
231 18
 
0.3%
Other values (246) 2191
36.5%
ValueCountFrequency (%)
0 3622
60.4%
1 34
 
0.6%
2 13
 
0.2%
3 18
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 20
0.3%
254 4
 
0.1%
253 6
 
0.1%
252 4
 
0.1%
251 5
 
0.1%

613
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09316667
Minimum0
Maximum255
Zeros4368
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:09.673426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322.25
95-th percentile212
Maximum255
Range255
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation72.96966892
Coefficient of variation (CV)1.915557968
Kurtosis1.244119008
Mean38.09316667
Median Absolute Deviation (MAD)0
Skewness1.678939807
Sum228559
Variance5324.572582
MonotonicityNot monotonic
2025-03-21T22:40:09.739209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4368
72.8%
1 20
 
0.3%
192 18
 
0.3%
255 18
 
0.3%
216 15
 
0.2%
203 15
 
0.2%
194 15
 
0.2%
211 15
 
0.2%
204 15
 
0.2%
198 14
 
0.2%
Other values (246) 1487
 
24.8%
ValueCountFrequency (%)
0 4368
72.8%
1 20
 
0.3%
2 10
 
0.2%
3 13
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 18
0.3%
254 2
 
< 0.1%
253 3
 
0.1%
252 5
 
0.1%
251 2
 
< 0.1%

614
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.64366667
Minimum0
Maximum255
Zeros4755
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:09.802928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile211
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.68140808
Coefficient of variation (CV)2.376002029
Kurtosis4.014311106
Mean27.64366667
Median Absolute Deviation (MAD)0
Skewness2.323851677
Sum165862
Variance4314.047368
MonotonicityNot monotonic
2025-03-21T22:40:09.869713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4755
79.2%
255 68
 
1.1%
1 26
 
0.4%
2 19
 
0.3%
3 14
 
0.2%
56 12
 
0.2%
198 11
 
0.2%
74 10
 
0.2%
223 10
 
0.2%
218 9
 
0.1%
Other values (244) 1066
 
17.8%
ValueCountFrequency (%)
0 4755
79.2%
1 26
 
0.4%
2 19
 
0.3%
3 14
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 68
1.1%
254 4
 
0.1%
253 3
 
0.1%
252 5
 
0.1%
251 7
 
0.1%

615
Real number (ℝ)

Zeros 

Distinct169
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.683833333
Minimum0
Maximum215
Zeros5321
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:09.935512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile55
Maximum215
Range215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.73522139
Coefficient of variation (CV)3.700753767
Kurtosis21.58093213
Mean6.683833333
Median Absolute Deviation (MAD)0
Skewness4.480847257
Sum40103
Variance611.8311772
MonotonicityNot monotonic
2025-03-21T22:40:09.999760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5321
88.7%
1 30
 
0.5%
2 23
 
0.4%
27 12
 
0.2%
68 11
 
0.2%
8 10
 
0.2%
20 10
 
0.2%
9 10
 
0.2%
6 9
 
0.1%
24 9
 
0.1%
Other values (159) 555
 
9.2%
ValueCountFrequency (%)
0 5321
88.7%
1 30
 
0.5%
2 23
 
0.4%
3 6
 
0.1%
4 7
 
0.1%
ValueCountFrequency (%)
215 1
< 0.1%
205 1
< 0.1%
199 1
< 0.1%
192 1
< 0.1%
191 2
< 0.1%

616
Real number (ℝ)

Zeros 

Distinct155
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.473833333
Minimum0
Maximum209
Zeros5498
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:10.255556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.05
Maximum209
Range209
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.58486349
Coefficient of variation (CV)4.601169054
Kurtosis35.0187266
Mean4.473833333
Median Absolute Deviation (MAD)0
Skewness5.64593515
Sum26843
Variance423.7366047
MonotonicityNot monotonic
2025-03-21T22:40:10.321500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5498
91.6%
1 44
 
0.7%
2 23
 
0.4%
3 18
 
0.3%
4 12
 
0.2%
38 9
 
0.1%
35 9
 
0.1%
6 9
 
0.1%
27 7
 
0.1%
9 6
 
0.1%
Other values (145) 365
 
6.1%
ValueCountFrequency (%)
0 5498
91.6%
1 44
 
0.7%
2 23
 
0.4%
3 18
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
209 1
< 0.1%
205 1
< 0.1%
204 1
< 0.1%
198 1
< 0.1%
191 1
< 0.1%

617
Real number (ℝ)

Zeros 

Distinct239
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.55583333
Minimum0
Maximum255
Zeros5209
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:10.387432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.29687144
Coefficient of variation (CV)3.249341371
Kurtosis10.96476752
Mean14.55583333
Median Absolute Deviation (MAD)0
Skewness3.442621074
Sum87335
Variance2236.994048
MonotonicityNot monotonic
2025-03-21T22:40:10.453135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5209
86.8%
1 39
 
0.7%
2 23
 
0.4%
255 12
 
0.2%
4 12
 
0.2%
3 10
 
0.2%
16 8
 
0.1%
153 8
 
0.1%
46 8
 
0.1%
6 8
 
0.1%
Other values (229) 663
 
11.1%
ValueCountFrequency (%)
0 5209
86.8%
1 39
 
0.7%
2 23
 
0.4%
3 10
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 12
0.2%
254 1
 
< 0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
250 4
 
0.1%

618
Real number (ℝ)

Zeros 

Distinct248
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.6385
Minimum0
Maximum255
Zeros4950
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:10.520119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile186.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.12139961
Coefficient of variation (CV)2.639804035
Kurtosis5.692407501
Mean21.6385
Median Absolute Deviation (MAD)0
Skewness2.640738101
Sum129831
Variance3262.854293
MonotonicityNot monotonic
2025-03-21T22:40:10.588481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4950
82.5%
1 35
 
0.6%
2 16
 
0.3%
255 15
 
0.2%
3 15
 
0.2%
6 14
 
0.2%
187 12
 
0.2%
210 10
 
0.2%
189 9
 
0.1%
184 9
 
0.1%
Other values (238) 915
 
15.2%
ValueCountFrequency (%)
0 4950
82.5%
1 35
 
0.6%
2 16
 
0.3%
3 15
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
255 15
0.2%
254 3
 
0.1%
253 2
 
< 0.1%
252 2
 
< 0.1%
251 1
 
< 0.1%

619
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.059
Minimum0
Maximum255
Zeros4401
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:10.655025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.25
95-th percentile202
Maximum255
Range255
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation68.0727344
Coefficient of variation (CV)1.998670965
Kurtosis1.928054462
Mean34.059
Median Absolute Deviation (MAD)0
Skewness1.838953427
Sum204354
Variance4633.897169
MonotonicityNot monotonic
2025-03-21T22:40:10.720330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4401
73.4%
1 44
 
0.7%
2 20
 
0.3%
255 17
 
0.3%
119 14
 
0.2%
180 14
 
0.2%
193 14
 
0.2%
222 13
 
0.2%
44 12
 
0.2%
94 12
 
0.2%
Other values (246) 1439
 
24.0%
ValueCountFrequency (%)
0 4401
73.4%
1 44
 
0.7%
2 20
 
0.3%
3 11
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 17
0.3%
254 1
 
< 0.1%
253 3
 
0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

620
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.72416667
Minimum0
Maximum255
Zeros3463
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:10.787147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3115
95-th percentile222.05
Maximum255
Range255
Interquartile range (IQR)115

Descriptive statistics

Standard deviation80.9600797
Coefficient of variation (CV)1.452871968
Kurtosis-0.3804927807
Mean55.72416667
Median Absolute Deviation (MAD)0
Skewness1.086966946
Sum334345
Variance6554.534505
MonotonicityNot monotonic
2025-03-21T22:40:10.856963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3463
57.7%
1 64
 
1.1%
3 39
 
0.7%
2 36
 
0.6%
255 30
 
0.5%
4 22
 
0.4%
219 21
 
0.4%
196 19
 
0.3%
184 19
 
0.3%
174 19
 
0.3%
Other values (246) 2268
37.8%
ValueCountFrequency (%)
0 3463
57.7%
1 64
 
1.1%
2 36
 
0.6%
3 39
 
0.7%
4 22
 
0.4%
ValueCountFrequency (%)
255 30
0.5%
254 4
 
0.1%
253 3
 
0.1%
252 4
 
0.1%
251 9
 
0.1%

621
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.6675
Minimum0
Maximum255
Zeros2980
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:10.926839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3163
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation91.12051051
Coefficient of variation (CV)1.2714342
Kurtosis-1.124420276
Mean71.6675
Median Absolute Deviation (MAD)1
Skewness0.748432661
Sum430005
Variance8302.947435
MonotonicityNot monotonic
2025-03-21T22:40:10.994784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2980
49.7%
1 93
 
1.6%
3 63
 
1.1%
2 62
 
1.0%
255 61
 
1.0%
4 39
 
0.7%
209 27
 
0.4%
195 26
 
0.4%
228 25
 
0.4%
221 25
 
0.4%
Other values (246) 2599
43.3%
ValueCountFrequency (%)
0 2980
49.7%
1 93
 
1.6%
2 62
 
1.0%
3 63
 
1.1%
4 39
 
0.7%
ValueCountFrequency (%)
255 61
1.0%
254 12
 
0.2%
253 11
 
0.2%
252 6
 
0.1%
251 9
 
0.1%

622
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.82066667
Minimum0
Maximum255
Zeros2841
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:11.062673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q3175
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)175

Descriptive statistics

Standard deviation93.23139951
Coefficient of variation (CV)1.18282937
Kurtosis-1.29405496
Mean78.82066667
Median Absolute Deviation (MAD)7
Skewness0.6183047105
Sum472924
Variance8692.093855
MonotonicityNot monotonic
2025-03-21T22:40:11.132187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2841
47.3%
255 102
 
1.7%
2 47
 
0.8%
1 41
 
0.7%
215 29
 
0.5%
193 28
 
0.5%
197 28
 
0.5%
205 26
 
0.4%
208 25
 
0.4%
225 25
 
0.4%
Other values (246) 2808
46.8%
ValueCountFrequency (%)
0 2841
47.3%
1 41
 
0.7%
2 47
 
0.8%
3 23
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 102
1.7%
254 15
 
0.2%
253 13
 
0.2%
252 11
 
0.2%
251 11
 
0.2%

623
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.90066667
Minimum0
Maximum255
Zeros2496
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:11.199099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41
Q3169
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)169

Descriptive statistics

Standard deviation89.43632712
Coefficient of variation (CV)1.105507912
Kurtosis-1.279973816
Mean80.90066667
Median Absolute Deviation (MAD)41
Skewness0.565030224
Sum485404
Variance7998.856609
MonotonicityNot monotonic
2025-03-21T22:40:11.265163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2496
41.6%
255 68
 
1.1%
1 32
 
0.5%
202 31
 
0.5%
226 28
 
0.5%
207 27
 
0.4%
222 27
 
0.4%
198 27
 
0.4%
71 26
 
0.4%
212 25
 
0.4%
Other values (246) 3213
53.5%
ValueCountFrequency (%)
0 2496
41.6%
1 32
 
0.5%
2 25
 
0.4%
3 20
 
0.3%
4 18
 
0.3%
ValueCountFrequency (%)
255 68
1.1%
254 7
 
0.1%
253 16
 
0.3%
252 6
 
0.1%
251 12
 
0.2%

624
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.2533333
Minimum0
Maximum255
Zeros1959
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:11.331514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3194
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation92.6655616
Coefficient of variation (CV)0.8974583058
Kurtosis-1.575014935
Mean103.2533333
Median Absolute Deviation (MAD)101
Skewness0.1501872852
Sum619520
Variance8586.906307
MonotonicityNot monotonic
2025-03-21T22:40:11.398110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1959
32.6%
255 112
 
1.9%
190 38
 
0.6%
225 35
 
0.6%
214 32
 
0.5%
199 32
 
0.5%
222 32
 
0.5%
209 31
 
0.5%
228 31
 
0.5%
200 30
 
0.5%
Other values (246) 3668
61.1%
ValueCountFrequency (%)
0 1959
32.6%
1 15
 
0.2%
2 18
 
0.3%
3 16
 
0.3%
4 7
 
0.1%
ValueCountFrequency (%)
255 112
1.9%
254 14
 
0.2%
253 20
 
0.3%
252 16
 
0.3%
251 7
 
0.1%

625
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.2856667
Minimum0
Maximum255
Zeros1539
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:11.461897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median138
Q3206
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation91.27566088
Coefficient of variation (CV)0.7588240844
Kurtosis-1.541857534
Mean120.2856667
Median Absolute Deviation (MAD)81
Skewness-0.1609254807
Sum721714
Variance8331.246269
MonotonicityNot monotonic
2025-03-21T22:40:11.530460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1539
 
25.7%
255 118
 
2.0%
218 51
 
0.9%
227 48
 
0.8%
230 46
 
0.8%
222 43
 
0.7%
217 42
 
0.7%
229 42
 
0.7%
204 41
 
0.7%
232 41
 
0.7%
Other values (246) 3989
66.5%
ValueCountFrequency (%)
0 1539
25.7%
1 9
 
0.1%
2 8
 
0.1%
3 9
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 118
2.0%
254 16
 
0.3%
253 16
 
0.3%
252 15
 
0.2%
251 8
 
0.1%

626
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.2388333
Minimum0
Maximum255
Zeros1192
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:11.802012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147
median155
Q3210
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation87.0652065
Coefficient of variation (CV)0.6634103969
Kurtosis-1.354540699
Mean131.2388333
Median Absolute Deviation (MAD)66
Skewness-0.3758947211
Sum787433
Variance7580.350184
MonotonicityNot monotonic
2025-03-21T22:40:11.869829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1192
 
19.9%
228 58
 
1.0%
229 56
 
0.9%
219 54
 
0.9%
255 53
 
0.9%
221 53
 
0.9%
213 50
 
0.8%
232 50
 
0.8%
210 49
 
0.8%
223 49
 
0.8%
Other values (246) 4336
72.3%
ValueCountFrequency (%)
0 1192
19.9%
1 9
 
0.1%
2 4
 
0.1%
3 10
 
0.2%
4 5
 
0.1%
ValueCountFrequency (%)
255 53
0.9%
254 8
 
0.1%
253 17
 
0.3%
252 8
 
0.1%
251 7
 
0.1%

627
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.6186667
Minimum0
Maximum255
Zeros1128
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:11.936127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156
median165
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)158

Descriptive statistics

Standard deviation87.27228078
Coefficient of variation (CV)0.638802024
Kurtosis-1.285618463
Mean136.6186667
Median Absolute Deviation (MAD)60
Skewness-0.4701136352
Sum819712
Variance7616.450993
MonotonicityNot monotonic
2025-03-21T22:40:12.004506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1128
 
18.8%
228 70
 
1.2%
214 58
 
1.0%
255 58
 
1.0%
213 57
 
0.9%
221 56
 
0.9%
216 56
 
0.9%
231 56
 
0.9%
227 55
 
0.9%
229 55
 
0.9%
Other values (246) 4351
72.5%
ValueCountFrequency (%)
0 1128
18.8%
1 13
 
0.2%
2 6
 
0.1%
3 8
 
0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
255 58
1.0%
254 12
 
0.2%
253 11
 
0.2%
252 8
 
0.1%
251 13
 
0.2%

628
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.633
Minimum0
Maximum255
Zeros1159
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:12.072185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149
median162
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)165

Descriptive statistics

Standard deviation87.9160576
Coefficient of variation (CV)0.6530052632
Kurtosis-1.335617967
Mean134.633
Median Absolute Deviation (MAD)63
Skewness-0.4249599597
Sum807798
Variance7729.233183
MonotonicityNot monotonic
2025-03-21T22:40:12.141471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1159
 
19.3%
255 69
 
1.1%
218 62
 
1.0%
215 58
 
1.0%
230 57
 
0.9%
233 53
 
0.9%
229 52
 
0.9%
225 51
 
0.9%
219 51
 
0.9%
228 51
 
0.9%
Other values (245) 4337
72.3%
ValueCountFrequency (%)
0 1159
19.3%
1 13
 
0.2%
2 8
 
0.1%
3 3
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 69
1.1%
254 6
 
0.1%
253 7
 
0.1%
252 11
 
0.2%
251 7
 
0.1%

629
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.419
Minimum0
Maximum255
Zeros1423
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:12.207604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.75
median142
Q3208
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)197.25

Descriptive statistics

Standard deviation89.89247215
Coefficient of variation (CV)0.7283519729
Kurtosis-1.505302194
Mean123.419
Median Absolute Deviation (MAD)77
Skewness-0.2356004181
Sum740514
Variance8080.656548
MonotonicityNot monotonic
2025-03-21T22:40:12.277760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1423
 
23.7%
224 55
 
0.9%
229 54
 
0.9%
218 53
 
0.9%
255 53
 
0.9%
230 52
 
0.9%
225 52
 
0.9%
221 49
 
0.8%
231 48
 
0.8%
228 47
 
0.8%
Other values (246) 4114
68.6%
ValueCountFrequency (%)
0 1423
23.7%
1 13
 
0.2%
2 13
 
0.2%
3 7
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 53
0.9%
254 8
 
0.1%
253 6
 
0.1%
252 6
 
0.1%
251 6
 
0.1%

630
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.6325
Minimum0
Maximum255
Zeros1685
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:12.346876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q3205
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation92.16612289
Coefficient of variation (CV)0.7902267626
Kurtosis-1.608036143
Mean116.6325
Median Absolute Deviation (MAD)85
Skewness-0.1302920997
Sum699795
Variance8494.594209
MonotonicityNot monotonic
2025-03-21T22:40:12.418019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1685
28.1%
229 48
 
0.8%
231 48
 
0.8%
206 47
 
0.8%
226 47
 
0.8%
236 46
 
0.8%
217 45
 
0.8%
228 45
 
0.8%
209 45
 
0.8%
221 45
 
0.8%
Other values (246) 3899
65.0%
ValueCountFrequency (%)
0 1685
28.1%
1 13
 
0.2%
2 12
 
0.2%
3 9
 
0.1%
4 11
 
0.2%
ValueCountFrequency (%)
255 43
0.7%
254 10
 
0.2%
253 4
 
0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%

631
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.0795
Minimum0
Maximum255
Zeros1424
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:12.486124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median142
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation90.44739153
Coefficient of variation (CV)0.7348696699
Kurtosis-1.518026296
Mean123.0795
Median Absolute Deviation (MAD)78
Skewness-0.2179362945
Sum738477
Variance8180.730635
MonotonicityNot monotonic
2025-03-21T22:40:12.557361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1424
 
23.7%
255 62
 
1.0%
228 51
 
0.9%
231 49
 
0.8%
227 49
 
0.8%
210 48
 
0.8%
218 46
 
0.8%
222 46
 
0.8%
214 46
 
0.8%
233 44
 
0.7%
Other values (246) 4135
68.9%
ValueCountFrequency (%)
0 1424
23.7%
1 17
 
0.3%
2 18
 
0.3%
3 6
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 62
1.0%
254 5
 
0.1%
253 13
 
0.2%
252 8
 
0.1%
251 11
 
0.2%

632
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.4626667
Minimum0
Maximum255
Zeros1350
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:12.628131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median150
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation90.23941193
Coefficient of variation (CV)0.7079673938
Kurtosis-1.47913808
Mean127.4626667
Median Absolute Deviation (MAD)73
Skewness-0.2972634203
Sum764776
Variance8143.151465
MonotonicityNot monotonic
2025-03-21T22:40:12.698374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1350
 
22.5%
255 62
 
1.0%
225 56
 
0.9%
219 55
 
0.9%
227 54
 
0.9%
220 54
 
0.9%
221 51
 
0.9%
231 50
 
0.8%
235 49
 
0.8%
229 48
 
0.8%
Other values (246) 4171
69.5%
ValueCountFrequency (%)
0 1350
22.5%
1 25
 
0.4%
2 15
 
0.2%
3 7
 
0.1%
4 10
 
0.2%
ValueCountFrequency (%)
255 62
1.0%
254 7
 
0.1%
253 7
 
0.1%
252 5
 
0.1%
251 4
 
0.1%

633
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.3606667
Minimum0
Maximum255
Zeros1442
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:12.766269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median145
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation90.92829728
Coefficient of variation (CV)0.7370931086
Kurtosis-1.528821502
Mean123.3606667
Median Absolute Deviation (MAD)76
Skewness-0.2347380127
Sum740164
Variance8267.955245
MonotonicityNot monotonic
2025-03-21T22:40:12.836385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1442
 
24.0%
225 58
 
1.0%
255 56
 
0.9%
212 52
 
0.9%
224 51
 
0.9%
230 50
 
0.8%
219 49
 
0.8%
231 49
 
0.8%
214 48
 
0.8%
220 47
 
0.8%
Other values (246) 4098
68.3%
ValueCountFrequency (%)
0 1442
24.0%
1 32
 
0.5%
2 21
 
0.4%
3 17
 
0.3%
4 16
 
0.3%
ValueCountFrequency (%)
255 56
0.9%
254 11
 
0.2%
253 7
 
0.1%
252 9
 
0.1%
251 7
 
0.1%

634
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.8365
Minimum0
Maximum255
Zeros1627
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:12.905379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median126
Q3202
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation91.28760233
Coefficient of variation (CV)0.8019185615
Kurtosis-1.583921329
Mean113.8365
Median Absolute Deviation (MAD)90
Skewness-0.0638528747
Sum683019
Variance8333.426339
MonotonicityNot monotonic
2025-03-21T22:40:12.976126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1627
27.1%
255 61
 
1.0%
216 52
 
0.9%
218 44
 
0.7%
217 44
 
0.7%
1 42
 
0.7%
222 42
 
0.7%
200 41
 
0.7%
229 41
 
0.7%
227 40
 
0.7%
Other values (246) 3966
66.1%
ValueCountFrequency (%)
0 1627
27.1%
1 42
 
0.7%
2 25
 
0.4%
3 24
 
0.4%
4 13
 
0.2%
ValueCountFrequency (%)
255 61
1.0%
254 10
 
0.2%
253 16
 
0.3%
252 9
 
0.1%
251 12
 
0.2%

635
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.6315
Minimum0
Maximum255
Zeros1974
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:13.043333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3194
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation92.97870301
Coefficient of variation (CV)0.9239522716
Kurtosis-1.57454264
Mean100.6315
Median Absolute Deviation (MAD)92
Skewness0.2001368583
Sum603789
Variance8645.039214
MonotonicityNot monotonic
2025-03-21T22:40:13.304739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1974
32.9%
255 114
 
1.9%
1 49
 
0.8%
210 40
 
0.7%
217 37
 
0.6%
202 35
 
0.6%
228 35
 
0.6%
215 33
 
0.5%
227 33
 
0.5%
209 32
 
0.5%
Other values (246) 3618
60.3%
ValueCountFrequency (%)
0 1974
32.9%
1 49
 
0.8%
2 20
 
0.3%
3 22
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
255 114
1.9%
254 12
 
0.2%
253 16
 
0.3%
252 14
 
0.2%
251 8
 
0.1%

636
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.14916667
Minimum0
Maximum255
Zeros2411
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:13.370664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q3170
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)170

Descriptive statistics

Standard deviation89.35806656
Coefficient of variation (CV)1.08775378
Kurtosis-1.313374614
Mean82.14916667
Median Absolute Deviation (MAD)45
Skewness0.5352742536
Sum492895
Variance7984.86406
MonotonicityNot monotonic
2025-03-21T22:40:13.438173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2411
40.2%
255 54
 
0.9%
2 43
 
0.7%
1 42
 
0.7%
216 39
 
0.7%
220 33
 
0.5%
227 30
 
0.5%
211 27
 
0.4%
206 27
 
0.4%
221 27
 
0.4%
Other values (246) 3267
54.4%
ValueCountFrequency (%)
0 2411
40.2%
1 42
 
0.7%
2 43
 
0.7%
3 23
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 54
0.9%
254 7
 
0.1%
253 6
 
0.1%
252 6
 
0.1%
251 9
 
0.1%

637
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.16716667
Minimum0
Maximum255
Zeros2793
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:13.504123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q3167
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation90.76040141
Coefficient of variation (CV)1.191594822
Kurtosis-1.210456462
Mean76.16716667
Median Absolute Deviation (MAD)11
Skewness0.6621941497
Sum457003
Variance8237.450464
MonotonicityNot monotonic
2025-03-21T22:40:13.576514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2793
46.6%
255 79
 
1.3%
1 51
 
0.9%
2 44
 
0.7%
214 32
 
0.5%
221 30
 
0.5%
210 29
 
0.5%
219 28
 
0.5%
4 26
 
0.4%
224 26
 
0.4%
Other values (246) 2862
47.7%
ValueCountFrequency (%)
0 2793
46.6%
1 51
 
0.9%
2 44
 
0.7%
3 22
 
0.4%
4 26
 
0.4%
ValueCountFrequency (%)
255 79
1.3%
254 12
 
0.2%
253 3
 
0.1%
252 8
 
0.1%
251 6
 
0.1%

638
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.38666667
Minimum0
Maximum255
Zeros2935
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:13.645779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3174
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)174

Descriptive statistics

Standard deviation93.69320266
Coefficient of variation (CV)1.22656488
Kurtosis-1.258487351
Mean76.38666667
Median Absolute Deviation (MAD)2
Skewness0.6654466754
Sum458320
Variance8778.416225
MonotonicityNot monotonic
2025-03-21T22:40:13.715720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2935
48.9%
255 101
 
1.7%
1 63
 
1.1%
2 53
 
0.9%
3 48
 
0.8%
4 36
 
0.6%
225 32
 
0.5%
201 29
 
0.5%
215 29
 
0.5%
229 27
 
0.4%
Other values (246) 2647
44.1%
ValueCountFrequency (%)
0 2935
48.9%
1 63
 
1.1%
2 53
 
0.9%
3 48
 
0.8%
4 36
 
0.6%
ValueCountFrequency (%)
255 101
1.7%
254 17
 
0.3%
253 9
 
0.1%
252 15
 
0.2%
251 17
 
0.3%

639
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.36033333
Minimum0
Maximum255
Zeros3096
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:13.783380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3146.25
95-th percentile229.05
Maximum255
Range255
Interquartile range (IQR)146.25

Descriptive statistics

Standard deviation87.5803567
Coefficient of variation (CV)1.319769692
Kurtosis-0.9248965469
Mean66.36033333
Median Absolute Deviation (MAD)0
Skewness0.8480553366
Sum398162
Variance7670.31888
MonotonicityNot monotonic
2025-03-21T22:40:13.854670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3096
51.6%
1 101
 
1.7%
2 71
 
1.2%
255 57
 
0.9%
3 51
 
0.9%
4 36
 
0.6%
197 24
 
0.4%
189 23
 
0.4%
193 23
 
0.4%
233 22
 
0.4%
Other values (246) 2496
41.6%
ValueCountFrequency (%)
0 3096
51.6%
1 101
 
1.7%
2 71
 
1.2%
3 51
 
0.9%
4 36
 
0.6%
ValueCountFrequency (%)
255 57
0.9%
254 14
 
0.2%
253 5
 
0.1%
252 4
 
0.1%
251 4
 
0.1%

640
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.0865
Minimum0
Maximum255
Zeros3846
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:13.923456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q384
95-th percentile216.05
Maximum255
Range255
Interquartile range (IQR)84

Descriptive statistics

Standard deviation76.66024709
Coefficient of variation (CV)1.62807274
Kurtosis0.2609049071
Mean47.0865
Median Absolute Deviation (MAD)0
Skewness1.341382984
Sum282519
Variance5876.793483
MonotonicityNot monotonic
2025-03-21T22:40:13.988321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3846
64.1%
1 45
 
0.8%
2 31
 
0.5%
255 23
 
0.4%
196 21
 
0.4%
3 18
 
0.3%
221 17
 
0.3%
213 16
 
0.3%
175 16
 
0.3%
193 15
 
0.2%
Other values (245) 1952
32.5%
ValueCountFrequency (%)
0 3846
64.1%
1 45
 
0.8%
2 31
 
0.5%
3 18
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 23
0.4%
254 3
 
0.1%
253 1
 
< 0.1%
252 7
 
0.1%
251 4
 
0.1%

641
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.50633333
Minimum0
Maximum255
Zeros4588
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:14.054826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile204
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation67.27966299
Coefficient of variation (CV)2.135432971
Kurtosis2.487808722
Mean31.50633333
Median Absolute Deviation (MAD)0
Skewness1.990324025
Sum189038
Variance4526.553052
MonotonicityNot monotonic
2025-03-21T22:40:14.121424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4588
76.5%
255 26
 
0.4%
1 26
 
0.4%
216 14
 
0.2%
207 13
 
0.2%
2 13
 
0.2%
204 13
 
0.2%
3 13
 
0.2%
214 12
 
0.2%
194 12
 
0.2%
Other values (245) 1270
 
21.2%
ValueCountFrequency (%)
0 4588
76.5%
1 26
 
0.4%
2 13
 
0.2%
3 13
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 26
0.4%
254 5
 
0.1%
253 1
 
< 0.1%
252 3
 
0.1%
251 2
 
< 0.1%

642
Real number (ℝ)

Zeros 

Distinct245
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.63933333
Minimum0
Maximum255
Zeros4959
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:14.186407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile192
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.48009838
Coefficient of variation (CV)2.70249076
Kurtosis6.371927653
Mean21.63933333
Median Absolute Deviation (MAD)0
Skewness2.755927354
Sum129836
Variance3419.921907
MonotonicityNot monotonic
2025-03-21T22:40:14.252087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4959
82.7%
255 41
 
0.7%
1 22
 
0.4%
2 20
 
0.3%
3 18
 
0.3%
4 12
 
0.2%
47 11
 
0.2%
213 10
 
0.2%
191 10
 
0.2%
156 10
 
0.2%
Other values (235) 887
 
14.8%
ValueCountFrequency (%)
0 4959
82.7%
1 22
 
0.4%
2 20
 
0.3%
3 18
 
0.3%
4 12
 
0.2%
ValueCountFrequency (%)
255 41
0.7%
254 6
 
0.1%
253 1
 
< 0.1%
252 5
 
0.1%
251 4
 
0.1%

643
Real number (ℝ)

Zeros 

Distinct154
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.893833333
Minimum0
Maximum200
Zeros5490
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:14.318956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile36
Maximum200
Range200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.34807998
Coefficient of variation (CV)4.362240911
Kurtosis30.37109532
Mean4.893833333
Median Absolute Deviation (MAD)0
Skewness5.2860601
Sum29363
Variance455.7405187
MonotonicityNot monotonic
2025-03-21T22:40:14.389012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5490
91.5%
1 27
 
0.4%
2 12
 
0.2%
7 11
 
0.2%
3 11
 
0.2%
6 10
 
0.2%
17 9
 
0.1%
28 9
 
0.1%
4 9
 
0.1%
56 8
 
0.1%
Other values (144) 404
 
6.7%
ValueCountFrequency (%)
0 5490
91.5%
1 27
 
0.4%
2 12
 
0.2%
3 11
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
200 1
< 0.1%
195 2
< 0.1%
187 1
< 0.1%
183 1
< 0.1%
181 1
< 0.1%

644
Real number (ℝ)

Zeros 

Distinct130
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8435
Minimum0
Maximum227
Zeros5646
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:14.457355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.42463503
Coefficient of variation (CV)5.776203633
Kurtosis57.98553417
Mean2.8435
Median Absolute Deviation (MAD)0
Skewness7.200208622
Sum17061
Variance269.7686359
MonotonicityNot monotonic
2025-03-21T22:40:14.523347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5646
94.1%
1 52
 
0.9%
2 20
 
0.3%
27 9
 
0.1%
4 8
 
0.1%
3 8
 
0.1%
16 7
 
0.1%
47 6
 
0.1%
5 6
 
0.1%
20 5
 
0.1%
Other values (120) 233
 
3.9%
ValueCountFrequency (%)
0 5646
94.1%
1 52
 
0.9%
2 20
 
0.3%
3 8
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
227 1
< 0.1%
209 1
< 0.1%
187 1
< 0.1%
183 2
< 0.1%
182 1
< 0.1%

645
Real number (ℝ)

Zeros 

Distinct213
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.19816667
Minimum0
Maximum255
Zeros5402
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:14.591671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile94
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.4402521
Coefficient of variation (CV)3.867386501
Kurtosis18.02013346
Mean10.19816667
Median Absolute Deviation (MAD)0
Skewness4.261406188
Sum61189
Variance1555.533486
MonotonicityNot monotonic
2025-03-21T22:40:14.860146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5402
90.0%
1 39
 
0.7%
2 21
 
0.4%
255 13
 
0.2%
3 12
 
0.2%
4 11
 
0.2%
18 10
 
0.2%
7 6
 
0.1%
80 6
 
0.1%
85 5
 
0.1%
Other values (203) 475
 
7.9%
ValueCountFrequency (%)
0 5402
90.0%
1 39
 
0.7%
2 21
 
0.4%
3 12
 
0.2%
4 11
 
0.2%
ValueCountFrequency (%)
255 13
0.2%
254 1
 
< 0.1%
252 1
 
< 0.1%
251 3
 
0.1%
250 3
 
0.1%

646
Real number (ℝ)

Zeros 

Distinct244
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.59883333
Minimum0
Maximum255
Zeros5189
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:14.925620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile162
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.75321547
Coefficient of variation (CV)3.057637513
Kurtosis8.982778884
Mean16.59883333
Median Absolute Deviation (MAD)0
Skewness3.16672591
Sum99593
Variance2575.88888
MonotonicityNot monotonic
2025-03-21T22:40:14.994141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5189
86.5%
1 31
 
0.5%
2 16
 
0.3%
255 12
 
0.2%
3 9
 
0.1%
180 9
 
0.1%
205 9
 
0.1%
4 9
 
0.1%
84 7
 
0.1%
168 7
 
0.1%
Other values (234) 702
 
11.7%
ValueCountFrequency (%)
0 5189
86.5%
1 31
 
0.5%
2 16
 
0.3%
3 9
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 12
0.2%
254 2
 
< 0.1%
253 2
 
< 0.1%
251 1
 
< 0.1%
250 3
 
0.1%

647
Real number (ℝ)

Zeros 

Distinct252
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.719
Minimum0
Maximum255
Zeros4642
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:15.061937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile197
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.38095847
Coefficient of variation (CV)2.206934729
Kurtosis3.113122198
Mean28.719
Median Absolute Deviation (MAD)0
Skewness2.115762168
Sum172314
Variance4017.145897
MonotonicityNot monotonic
2025-03-21T22:40:15.128566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4642
77.4%
1 43
 
0.7%
219 15
 
0.2%
2 14
 
0.2%
72 12
 
0.2%
153 12
 
0.2%
177 11
 
0.2%
148 11
 
0.2%
173 10
 
0.2%
220 10
 
0.2%
Other values (242) 1220
 
20.3%
ValueCountFrequency (%)
0 4642
77.4%
1 43
 
0.7%
2 14
 
0.2%
3 7
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 9
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 3
 
0.1%
251 2
 
< 0.1%

648
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.09783333
Minimum0
Maximum255
Zeros3700
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:15.193361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q397
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)97

Descriptive statistics

Standard deviation78.73115242
Coefficient of variation (CV)1.571548053
Kurtosis0.01176311993
Mean50.09783333
Median Absolute Deviation (MAD)0
Skewness1.251059409
Sum300587
Variance6198.594361
MonotonicityNot monotonic
2025-03-21T22:40:15.261456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3700
61.7%
1 80
 
1.3%
2 46
 
0.8%
3 29
 
0.5%
255 24
 
0.4%
205 20
 
0.3%
4 20
 
0.3%
132 18
 
0.3%
217 17
 
0.3%
124 17
 
0.3%
Other values (245) 2029
33.8%
ValueCountFrequency (%)
0 3700
61.7%
1 80
 
1.3%
2 46
 
0.8%
3 29
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 24
0.4%
254 5
 
0.1%
253 1
 
< 0.1%
252 5
 
0.1%
251 8
 
0.1%

649
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.4535
Minimum0
Maximum255
Zeros3285
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:15.327751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3151
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)151

Descriptive statistics

Standard deviation90.21474171
Coefficient of variation (CV)1.378302791
Kurtosis-0.8897052802
Mean65.4535
Median Absolute Deviation (MAD)0
Skewness0.8997528672
Sum392721
Variance8138.699621
MonotonicityNot monotonic
2025-03-21T22:40:15.398517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3285
54.8%
1 78
 
1.3%
255 65
 
1.1%
2 62
 
1.0%
3 59
 
1.0%
4 36
 
0.6%
225 29
 
0.5%
224 26
 
0.4%
227 25
 
0.4%
214 25
 
0.4%
Other values (246) 2310
38.5%
ValueCountFrequency (%)
0 3285
54.8%
1 78
 
1.3%
2 62
 
1.0%
3 59
 
1.0%
4 36
 
0.6%
ValueCountFrequency (%)
255 65
1.1%
254 14
 
0.2%
253 9
 
0.1%
252 8
 
0.1%
251 8
 
0.1%

650
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.15583333
Minimum0
Maximum255
Zeros3142
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:15.466447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3161
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)161

Descriptive statistics

Standard deviation91.80870341
Coefficient of variation (CV)1.290248446
Kurtosis-1.067917598
Mean71.15583333
Median Absolute Deviation (MAD)0
Skewness0.7832179699
Sum426935
Variance8428.838022
MonotonicityNot monotonic
2025-03-21T22:40:15.536426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3142
52.4%
255 106
 
1.8%
2 42
 
0.7%
1 40
 
0.7%
3 33
 
0.5%
225 26
 
0.4%
201 25
 
0.4%
230 24
 
0.4%
209 23
 
0.4%
212 23
 
0.4%
Other values (246) 2516
41.9%
ValueCountFrequency (%)
0 3142
52.4%
1 40
 
0.7%
2 42
 
0.7%
3 33
 
0.5%
4 17
 
0.3%
ValueCountFrequency (%)
255 106
1.8%
254 20
 
0.3%
253 7
 
0.1%
252 16
 
0.3%
251 8
 
0.1%

651
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.99133333
Minimum0
Maximum255
Zeros2820
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:15.605974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q3156.25
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)156.25

Descriptive statistics

Standard deviation88.47126719
Coefficient of variation (CV)1.212079067
Kurtosis-1.058871672
Mean72.99133333
Median Absolute Deviation (MAD)12
Skewness0.7379964202
Sum437948
Variance7827.165119
MonotonicityNot monotonic
2025-03-21T22:40:15.674165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2820
47.0%
255 67
 
1.1%
2 34
 
0.6%
1 34
 
0.6%
218 26
 
0.4%
162 25
 
0.4%
210 24
 
0.4%
222 23
 
0.4%
221 23
 
0.4%
217 22
 
0.4%
Other values (246) 2902
48.4%
ValueCountFrequency (%)
0 2820
47.0%
1 34
 
0.6%
2 34
 
0.6%
3 15
 
0.2%
4 15
 
0.2%
ValueCountFrequency (%)
255 67
1.1%
254 10
 
0.2%
253 8
 
0.1%
252 13
 
0.2%
251 8
 
0.1%

652
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.245
Minimum0
Maximum255
Zeros2300
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:15.742373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75
Q3187
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation93.07347682
Coefficient of variation (CV)0.9875693864
Kurtosis-1.520621967
Mean94.245
Median Absolute Deviation (MAD)75
Skewness0.3129542824
Sum565470
Variance8662.672087
MonotonicityNot monotonic
2025-03-21T22:40:15.810754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2300
38.3%
255 113
 
1.9%
231 34
 
0.6%
225 32
 
0.5%
220 32
 
0.5%
167 31
 
0.5%
222 31
 
0.5%
224 31
 
0.5%
221 31
 
0.5%
228 31
 
0.5%
Other values (246) 3334
55.6%
ValueCountFrequency (%)
0 2300
38.3%
1 12
 
0.2%
2 12
 
0.2%
3 14
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 113
1.9%
254 11
 
0.2%
253 18
 
0.3%
252 9
 
0.1%
251 10
 
0.2%

653
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.9973333
Minimum0
Maximum255
Zeros1836
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:15.876590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118
Q3202
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation93.35834701
Coefficient of variation (CV)0.8410863956
Kurtosis-1.613643993
Mean110.9973333
Median Absolute Deviation (MAD)99
Skewness0.003201512179
Sum665984
Variance8715.780956
MonotonicityNot monotonic
2025-03-21T22:40:15.942631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1836
30.6%
255 107
 
1.8%
223 45
 
0.8%
229 45
 
0.8%
217 41
 
0.7%
225 39
 
0.7%
224 39
 
0.7%
227 38
 
0.6%
228 38
 
0.6%
209 38
 
0.6%
Other values (246) 3734
62.2%
ValueCountFrequency (%)
0 1836
30.6%
1 20
 
0.3%
2 11
 
0.2%
3 24
 
0.4%
4 11
 
0.2%
ValueCountFrequency (%)
255 107
1.8%
254 15
 
0.2%
253 13
 
0.2%
252 14
 
0.2%
251 12
 
0.2%

654
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.107
Minimum0
Maximum255
Zeros1521
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:16.008009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median143
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation91.05017613
Coefficient of variation (CV)0.7456589395
Kurtosis-1.539674266
Mean122.107
Median Absolute Deviation (MAD)78
Skewness-0.2115268305
Sum732642
Variance8290.134573
MonotonicityNot monotonic
2025-03-21T22:40:16.077000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1521
 
25.4%
255 66
 
1.1%
230 54
 
0.9%
231 50
 
0.8%
224 49
 
0.8%
221 49
 
0.8%
214 48
 
0.8%
223 48
 
0.8%
218 47
 
0.8%
226 47
 
0.8%
Other values (246) 4021
67.0%
ValueCountFrequency (%)
0 1521
25.4%
1 19
 
0.3%
2 7
 
0.1%
3 8
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 66
1.1%
254 8
 
0.1%
253 11
 
0.2%
252 9
 
0.1%
251 9
 
0.1%

655
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.0333333
Minimum0
Maximum255
Zeros1448
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:16.144243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median153
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation91.21288023
Coefficient of variation (CV)0.7124151021
Kurtosis-1.48632676
Mean128.0333333
Median Absolute Deviation (MAD)72
Skewness-0.3126043009
Sum768200
Variance8319.78952
MonotonicityNot monotonic
2025-03-21T22:40:16.405541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1448
 
24.1%
255 65
 
1.1%
215 60
 
1.0%
216 58
 
1.0%
230 55
 
0.9%
222 55
 
0.9%
231 53
 
0.9%
217 53
 
0.9%
226 53
 
0.9%
227 51
 
0.9%
Other values (246) 4049
67.5%
ValueCountFrequency (%)
0 1448
24.1%
1 8
 
0.1%
2 9
 
0.1%
3 10
 
0.2%
4 7
 
0.1%
ValueCountFrequency (%)
255 65
1.1%
254 12
 
0.2%
253 6
 
0.1%
252 7
 
0.1%
251 10
 
0.2%

656
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.4725
Minimum0
Maximum255
Zeros1463
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:16.474235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median149
Q3212
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation91.53373321
Coefficient of variation (CV)0.7237441594
Kurtosis-1.508381824
Mean126.4725
Median Absolute Deviation (MAD)75
Skewness-0.2746718057
Sum758835
Variance8378.424314
MonotonicityNot monotonic
2025-03-21T22:40:16.544633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1463
 
24.4%
255 68
 
1.1%
226 57
 
0.9%
228 55
 
0.9%
231 55
 
0.9%
225 50
 
0.8%
222 49
 
0.8%
230 49
 
0.8%
213 48
 
0.8%
223 47
 
0.8%
Other values (245) 4059
67.7%
ValueCountFrequency (%)
0 1463
24.4%
1 10
 
0.2%
2 4
 
0.1%
3 10
 
0.2%
4 5
 
0.1%
ValueCountFrequency (%)
255 68
1.1%
254 12
 
0.2%
253 8
 
0.1%
252 10
 
0.2%
251 12
 
0.2%

657
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.7931667
Minimum0
Maximum255
Zeros1722
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:16.613786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median129.5
Q3206
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation92.61840574
Coefficient of variation (CV)0.7998607207
Kurtosis-1.606419313
Mean115.7931667
Median Absolute Deviation (MAD)89.5
Skewness-0.09645576515
Sum694759
Variance8578.169081
MonotonicityNot monotonic
2025-03-21T22:40:16.683456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1722
28.7%
255 56
 
0.9%
230 49
 
0.8%
235 48
 
0.8%
229 46
 
0.8%
206 45
 
0.8%
219 44
 
0.7%
228 44
 
0.7%
225 43
 
0.7%
224 43
 
0.7%
Other values (246) 3860
64.3%
ValueCountFrequency (%)
0 1722
28.7%
1 10
 
0.2%
2 16
 
0.3%
3 11
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 56
0.9%
254 10
 
0.2%
253 12
 
0.2%
252 8
 
0.1%
251 5
 
0.1%

658
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.784
Minimum0
Maximum255
Zeros1990
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:16.754736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3202
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation93.98948708
Coefficient of variation (CV)0.8720170626
Kurtosis-1.662612012
Mean107.784
Median Absolute Deviation (MAD)105
Skewness0.02972797596
Sum646704
Variance8834.023681
MonotonicityNot monotonic
2025-03-21T22:40:16.823630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1990
33.2%
226 47
 
0.8%
223 46
 
0.8%
218 45
 
0.8%
222 44
 
0.7%
214 43
 
0.7%
228 42
 
0.7%
219 42
 
0.7%
233 42
 
0.7%
230 42
 
0.7%
Other values (246) 3617
60.3%
ValueCountFrequency (%)
0 1990
33.2%
1 17
 
0.3%
2 23
 
0.4%
3 10
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 41
0.7%
254 7
 
0.1%
253 7
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

659
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.7705
Minimum0
Maximum255
Zeros1787
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:16.890717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median122
Q3205
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation93.050973
Coefficient of variation (CV)0.8251357669
Kurtosis-1.625336835
Mean112.7705
Median Absolute Deviation (MAD)96
Skewness-0.04064675589
Sum676623
Variance8658.483577
MonotonicityNot monotonic
2025-03-21T22:40:16.960294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1787
29.8%
255 54
 
0.9%
221 49
 
0.8%
227 49
 
0.8%
223 47
 
0.8%
206 46
 
0.8%
216 44
 
0.7%
218 44
 
0.7%
231 43
 
0.7%
233 42
 
0.7%
Other values (246) 3795
63.2%
ValueCountFrequency (%)
0 1787
29.8%
1 17
 
0.3%
2 13
 
0.2%
3 10
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 54
0.9%
254 7
 
0.1%
253 10
 
0.2%
252 8
 
0.1%
251 8
 
0.1%

660
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.8226667
Minimum0
Maximum255
Zeros1699
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:17.029880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation93.61072079
Coefficient of variation (CV)0.7945051953
Kurtosis-1.619276824
Mean117.8226667
Median Absolute Deviation (MAD)88
Skewness-0.1308513824
Sum706936
Variance8762.967047
MonotonicityNot monotonic
2025-03-21T22:40:17.101872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1699
28.3%
255 59
 
1.0%
226 50
 
0.8%
231 49
 
0.8%
230 47
 
0.8%
222 46
 
0.8%
217 45
 
0.8%
225 44
 
0.7%
224 44
 
0.7%
200 43
 
0.7%
Other values (246) 3874
64.6%
ValueCountFrequency (%)
0 1699
28.3%
1 26
 
0.4%
2 19
 
0.3%
3 16
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 59
1.0%
254 11
 
0.2%
253 9
 
0.1%
252 3
 
0.1%
251 10
 
0.2%

661
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.8013333
Minimum0
Maximum255
Zeros1740
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:17.171436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median131
Q3206
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation93.53416473
Coefficient of variation (CV)0.8147480697
Kurtosis-1.632336723
Mean114.8013333
Median Absolute Deviation (MAD)90
Skewness-0.08407920228
Sum688808
Variance8748.639972
MonotonicityNot monotonic
2025-03-21T22:40:17.239549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1740
29.0%
230 58
 
1.0%
255 49
 
0.8%
213 48
 
0.8%
222 44
 
0.7%
217 44
 
0.7%
1 43
 
0.7%
229 43
 
0.7%
227 43
 
0.7%
209 43
 
0.7%
Other values (246) 3845
64.1%
ValueCountFrequency (%)
0 1740
29.0%
1 43
 
0.7%
2 27
 
0.4%
3 19
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 49
0.8%
254 4
 
0.1%
253 8
 
0.1%
252 10
 
0.2%
251 16
 
0.3%

662
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.2136667
Minimum0
Maximum255
Zeros1927
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:17.307358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106
Q3198
95-th percentile235.05
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation92.59786035
Coefficient of variation (CV)0.8800934639
Kurtosis-1.621886217
Mean105.2136667
Median Absolute Deviation (MAD)106
Skewness0.08142182786
Sum631282
Variance8574.363741
MonotonicityNot monotonic
2025-03-21T22:40:17.373620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1927
32.1%
255 55
 
0.9%
1 49
 
0.8%
223 49
 
0.8%
222 41
 
0.7%
228 41
 
0.7%
212 39
 
0.7%
216 39
 
0.7%
224 38
 
0.6%
197 38
 
0.6%
Other values (246) 3684
61.4%
ValueCountFrequency (%)
0 1927
32.1%
1 49
 
0.8%
2 29
 
0.5%
3 24
 
0.4%
4 14
 
0.2%
ValueCountFrequency (%)
255 55
0.9%
254 9
 
0.1%
253 14
 
0.2%
252 6
 
0.1%
251 11
 
0.2%

663
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.92666667
Minimum0
Maximum255
Zeros2297
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:17.437406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median70
Q3188
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation93.48048133
Coefficient of variation (CV)1.005959696
Kurtosis-1.526893197
Mean92.92666667
Median Absolute Deviation (MAD)70
Skewness0.3360049616
Sum557560
Variance8738.600389
MonotonicityNot monotonic
2025-03-21T22:40:17.504596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2297
38.3%
255 111
 
1.8%
222 40
 
0.7%
215 36
 
0.6%
1 35
 
0.6%
219 35
 
0.6%
203 32
 
0.5%
221 31
 
0.5%
231 30
 
0.5%
226 29
 
0.5%
Other values (246) 3324
55.4%
ValueCountFrequency (%)
0 2297
38.3%
1 35
 
0.6%
2 28
 
0.5%
3 28
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 111
1.8%
254 7
 
0.1%
253 19
 
0.3%
252 17
 
0.3%
251 5
 
0.1%

664
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.85533333
Minimum0
Maximum255
Zeros2714
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:17.571170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18.5
Q3156
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)156

Descriptive statistics

Standard deviation87.82025851
Coefficient of variation (CV)1.189084857
Kurtosis-1.095374311
Mean73.85533333
Median Absolute Deviation (MAD)18.5
Skewness0.7059023427
Sum443132
Variance7712.397805
MonotonicityNot monotonic
2025-03-21T22:40:17.822801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2714
45.2%
255 69
 
1.1%
1 48
 
0.8%
2 37
 
0.6%
3 33
 
0.5%
219 29
 
0.5%
204 25
 
0.4%
212 24
 
0.4%
225 24
 
0.4%
217 22
 
0.4%
Other values (246) 2975
49.6%
ValueCountFrequency (%)
0 2714
45.2%
1 48
 
0.8%
2 37
 
0.6%
3 33
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 69
1.1%
254 3
 
0.1%
253 4
 
0.1%
252 7
 
0.1%
251 6
 
0.1%

665
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.4835
Minimum0
Maximum255
Zeros3098
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:17.888904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3149.25
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)149.25

Descriptive statistics

Standard deviation88.30542284
Coefficient of variation (CV)1.308548354
Kurtosis-0.921987935
Mean67.4835
Median Absolute Deviation (MAD)0
Skewness0.8497593569
Sum404901
Variance7797.847702
MonotonicityNot monotonic
2025-03-21T22:40:17.958465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3098
51.6%
255 60
 
1.0%
2 40
 
0.7%
1 38
 
0.6%
204 28
 
0.5%
223 25
 
0.4%
3 24
 
0.4%
205 23
 
0.4%
209 22
 
0.4%
230 22
 
0.4%
Other values (246) 2620
43.7%
ValueCountFrequency (%)
0 3098
51.6%
1 38
 
0.6%
2 40
 
0.7%
3 24
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 60
1.0%
254 13
 
0.2%
253 6
 
0.1%
252 13
 
0.2%
251 7
 
0.1%

666
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.43033333
Minimum0
Maximum255
Zeros3229
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.027396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3159
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)159

Descriptive statistics

Standard deviation91.85014183
Coefficient of variation (CV)1.342243087
Kurtosis-0.9971739251
Mean68.43033333
Median Absolute Deviation (MAD)0
Skewness0.8413282531
Sum410582
Variance8436.448555
MonotonicityNot monotonic
2025-03-21T22:40:18.098510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3229
53.8%
255 93
 
1.6%
1 78
 
1.3%
2 57
 
0.9%
3 39
 
0.7%
222 33
 
0.5%
4 33
 
0.5%
217 27
 
0.4%
5 27
 
0.4%
216 25
 
0.4%
Other values (245) 2359
39.3%
ValueCountFrequency (%)
0 3229
53.8%
1 78
 
1.3%
2 57
 
0.9%
3 39
 
0.7%
4 33
 
0.5%
ValueCountFrequency (%)
255 93
1.6%
254 16
 
0.3%
253 3
 
0.1%
252 12
 
0.2%
251 10
 
0.2%

667
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.198
Minimum0
Maximum255
Zeros3371
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.165181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3129
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation85.00643002
Coefficient of variation (CV)1.435967938
Kurtosis-0.613790119
Mean59.198
Median Absolute Deviation (MAD)0
Skewness1.013843766
Sum355188
Variance7226.093145
MonotonicityNot monotonic
2025-03-21T22:40:18.234329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3371
56.2%
1 108
 
1.8%
2 65
 
1.1%
3 56
 
0.9%
255 45
 
0.8%
4 37
 
0.6%
200 24
 
0.4%
225 23
 
0.4%
221 23
 
0.4%
5 22
 
0.4%
Other values (245) 2226
37.1%
ValueCountFrequency (%)
0 3371
56.2%
1 108
 
1.8%
2 65
 
1.1%
3 56
 
0.9%
4 37
 
0.6%
ValueCountFrequency (%)
255 45
0.8%
254 7
 
0.1%
253 3
 
0.1%
252 6
 
0.1%
251 7
 
0.1%

668
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.266
Minimum0
Maximum255
Zeros4119
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.302045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353
95-th percentile213
Maximum255
Range255
Interquartile range (IQR)53

Descriptive statistics

Standard deviation72.62712322
Coefficient of variation (CV)1.803683585
Kurtosis1.015530668
Mean40.266
Median Absolute Deviation (MAD)0
Skewness1.583025646
Sum241596
Variance5274.699027
MonotonicityNot monotonic
2025-03-21T22:40:18.367418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4119
68.7%
1 45
 
0.8%
2 36
 
0.6%
3 23
 
0.4%
255 21
 
0.4%
221 20
 
0.3%
4 16
 
0.3%
214 15
 
0.2%
106 14
 
0.2%
216 14
 
0.2%
Other values (246) 1677
28.0%
ValueCountFrequency (%)
0 4119
68.7%
1 45
 
0.8%
2 36
 
0.6%
3 23
 
0.4%
4 16
 
0.3%
ValueCountFrequency (%)
255 21
0.4%
254 3
 
0.1%
253 2
 
< 0.1%
252 4
 
0.1%
251 3
 
0.1%

669
Real number (ℝ)

Zeros 

Distinct250
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.13933333
Minimum0
Maximum255
Zeros4856
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.431248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile199
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.69590735
Coefficient of variation (CV)2.454158451
Kurtosis4.36767007
Mean25.13933333
Median Absolute Deviation (MAD)0
Skewness2.397049748
Sum150836
Variance3806.384984
MonotonicityNot monotonic
2025-03-21T22:40:18.498244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4856
80.9%
1 29
 
0.5%
255 14
 
0.2%
3 14
 
0.2%
2 13
 
0.2%
223 11
 
0.2%
206 11
 
0.2%
130 10
 
0.2%
195 10
 
0.2%
93 10
 
0.2%
Other values (240) 1022
 
17.0%
ValueCountFrequency (%)
0 4856
80.9%
1 29
 
0.5%
2 13
 
0.2%
3 14
 
0.2%
4 5
 
0.1%
ValueCountFrequency (%)
255 14
0.2%
254 3
 
0.1%
253 1
 
< 0.1%
252 3
 
0.1%
251 2
 
< 0.1%

670
Real number (ℝ)

Zeros 

Distinct241
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.80316667
Minimum0
Maximum255
Zeros5221
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.563793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile154.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.02789823
Coefficient of variation (CV)3.228966656
Kurtosis10.72776367
Mean15.80316667
Median Absolute Deviation (MAD)0
Skewness3.415198863
Sum94819
Variance2603.846398
MonotonicityNot monotonic
2025-03-21T22:40:18.631394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5221
87.0%
255 40
 
0.7%
1 27
 
0.4%
2 17
 
0.3%
4 10
 
0.2%
242 8
 
0.1%
9 8
 
0.1%
74 7
 
0.1%
8 7
 
0.1%
229 7
 
0.1%
Other values (231) 648
 
10.8%
ValueCountFrequency (%)
0 5221
87.0%
1 27
 
0.4%
2 17
 
0.3%
3 5
 
0.1%
4 10
 
0.2%
ValueCountFrequency (%)
255 40
0.7%
254 1
 
< 0.1%
253 4
 
0.1%
252 1
 
< 0.1%
251 3
 
0.1%

671
Real number (ℝ)

Zeros 

Distinct143
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.471166667
Minimum0
Maximum221
Zeros5655
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.695781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum221
Range221
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.74017167
Coefficient of variation (CV)5.39881068
Kurtosis47.68412507
Mean3.471166667
Median Absolute Deviation (MAD)0
Skewness6.569562398
Sum20827
Variance351.1940343
MonotonicityNot monotonic
2025-03-21T22:40:18.760329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5655
94.2%
1 22
 
0.4%
2 14
 
0.2%
11 8
 
0.1%
7 7
 
0.1%
30 6
 
0.1%
3 6
 
0.1%
5 5
 
0.1%
40 5
 
0.1%
64 5
 
0.1%
Other values (133) 267
 
4.5%
ValueCountFrequency (%)
0 5655
94.2%
1 22
 
0.4%
2 14
 
0.2%
3 6
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
221 2
< 0.1%
206 1
< 0.1%
192 1
< 0.1%
191 1
< 0.1%
189 1
< 0.1%

672
Real number (ℝ)

Zeros 

Distinct100
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.521666667
Minimum0
Maximum161
Zeros5791
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.823414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum161
Range161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.70423123
Coefficient of variation (CV)7.691718225
Kurtosis91.97174338
Mean1.521666667
Median Absolute Deviation (MAD)0
Skewness9.230908577
Sum9130
Variance136.9890287
MonotonicityNot monotonic
2025-03-21T22:40:18.889816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5791
96.5%
1 27
 
0.4%
2 17
 
0.3%
3 10
 
0.2%
4 8
 
0.1%
44 5
 
0.1%
5 5
 
0.1%
6 4
 
0.1%
112 3
 
0.1%
31 3
 
0.1%
Other values (90) 127
 
2.1%
ValueCountFrequency (%)
0 5791
96.5%
1 27
 
0.4%
2 17
 
0.3%
3 10
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
161 1
< 0.1%
160 1
< 0.1%
155 1
< 0.1%
149 1
< 0.1%
147 1
< 0.1%

673
Real number (ℝ)

Zeros 

Distinct169
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.794666667
Minimum0
Maximum255
Zeros5610
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:18.959771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.5963426
Coefficient of variation (CV)5.107514255
Kurtosis36.26474442
Mean5.794666667
Median Absolute Deviation (MAD)0
Skewness5.89295037
Sum34768
Variance875.9434955
MonotonicityNot monotonic
2025-03-21T22:40:19.026628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5610
93.5%
1 26
 
0.4%
2 21
 
0.4%
255 10
 
0.2%
3 10
 
0.2%
5 9
 
0.1%
6 6
 
0.1%
4 6
 
0.1%
56 5
 
0.1%
21 5
 
0.1%
Other values (159) 292
 
4.9%
ValueCountFrequency (%)
0 5610
93.5%
1 26
 
0.4%
2 21
 
0.4%
3 10
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 10
0.2%
253 1
 
< 0.1%
246 1
 
< 0.1%
245 1
 
< 0.1%
243 1
 
< 0.1%

674
Real number (ℝ)

Zeros 

Distinct228
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.40883333
Minimum0
Maximum255
Zeros5372
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:19.092592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile112.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.91395335
Coefficient of variation (CV)3.673815904
Kurtosis15.11897156
Mean11.40883333
Median Absolute Deviation (MAD)0
Skewness3.959383944
Sum68453
Variance1756.779485
MonotonicityNot monotonic
2025-03-21T22:40:19.157832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5372
89.5%
1 36
 
0.6%
2 21
 
0.4%
3 10
 
0.2%
4 9
 
0.1%
255 7
 
0.1%
9 6
 
0.1%
8 6
 
0.1%
166 6
 
0.1%
160 6
 
0.1%
Other values (218) 521
 
8.7%
ValueCountFrequency (%)
0 5372
89.5%
1 36
 
0.6%
2 21
 
0.4%
3 10
 
0.2%
4 9
 
0.1%
ValueCountFrequency (%)
255 7
0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%
250 2
 
< 0.1%
249 2
 
< 0.1%

675
Real number (ℝ)

Zeros 

Distinct250
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.07616667
Minimum0
Maximum255
Zeros4864
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:19.389804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile183.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.73897872
Coefficient of variation (CV)2.502104425
Kurtosis5.017382217
Mean23.07616667
Median Absolute Deviation (MAD)0
Skewness2.498277274
Sum138457
Variance3333.789664
MonotonicityNot monotonic
2025-03-21T22:40:19.453834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4864
81.1%
1 42
 
0.7%
2 19
 
0.3%
255 15
 
0.2%
3 14
 
0.2%
4 14
 
0.2%
97 12
 
0.2%
210 12
 
0.2%
78 10
 
0.2%
200 10
 
0.2%
Other values (240) 988
 
16.5%
ValueCountFrequency (%)
0 4864
81.1%
1 42
 
0.7%
2 19
 
0.3%
3 14
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 15
0.2%
254 2
 
< 0.1%
252 2
 
< 0.1%
249 1
 
< 0.1%
248 1
 
< 0.1%

676
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.10533333
Minimum0
Maximum255
Zeros3931
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:19.517647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370
95-th percentile213
Maximum255
Range255
Interquartile range (IQR)70

Descriptive statistics

Standard deviation74.05827667
Coefficient of variation (CV)1.718076881
Kurtosis0.6427508636
Mean43.10533333
Median Absolute Deviation (MAD)0
Skewness1.467262869
Sum258632
Variance5484.628343
MonotonicityNot monotonic
2025-03-21T22:40:19.580777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3931
65.5%
1 66
 
1.1%
2 54
 
0.9%
3 34
 
0.6%
4 19
 
0.3%
194 18
 
0.3%
203 15
 
0.2%
255 15
 
0.2%
221 14
 
0.2%
92 14
 
0.2%
Other values (246) 1820
30.3%
ValueCountFrequency (%)
0 3931
65.5%
1 66
 
1.1%
2 54
 
0.9%
3 34
 
0.6%
4 19
 
0.3%
ValueCountFrequency (%)
255 15
0.2%
254 3
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 6
 
0.1%

677
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.09166667
Minimum0
Maximum255
Zeros3502
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:19.644108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3126
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation86.78576242
Coefficient of variation (CV)1.493945128
Kurtosis-0.5257113779
Mean58.09166667
Median Absolute Deviation (MAD)0
Skewness1.077246788
Sum348550
Variance7531.768559
MonotonicityNot monotonic
2025-03-21T22:40:19.711184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3502
58.4%
1 92
 
1.5%
2 60
 
1.0%
3 56
 
0.9%
255 42
 
0.7%
4 34
 
0.6%
5 27
 
0.4%
222 24
 
0.4%
216 23
 
0.4%
227 22
 
0.4%
Other values (244) 2118
35.3%
ValueCountFrequency (%)
0 3502
58.4%
1 92
 
1.5%
2 60
 
1.0%
3 56
 
0.9%
4 34
 
0.6%
ValueCountFrequency (%)
255 42
0.7%
254 12
 
0.2%
253 5
 
0.1%
252 9
 
0.1%
251 7
 
0.1%

678
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.17516667
Minimum0
Maximum255
Zeros3355
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:19.775724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3139
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)139

Descriptive statistics

Standard deviation87.91838881
Coefficient of variation (CV)1.391660576
Kurtosis-0.7631830275
Mean63.17516667
Median Absolute Deviation (MAD)0
Skewness0.9485002307
Sum379051
Variance7729.64309
MonotonicityNot monotonic
2025-03-21T22:40:19.842291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3355
55.9%
255 60
 
1.0%
1 49
 
0.8%
2 44
 
0.7%
3 37
 
0.6%
213 27
 
0.4%
227 27
 
0.4%
212 23
 
0.4%
219 22
 
0.4%
220 21
 
0.4%
Other values (246) 2335
38.9%
ValueCountFrequency (%)
0 3355
55.9%
1 49
 
0.8%
2 44
 
0.7%
3 37
 
0.6%
4 17
 
0.3%
ValueCountFrequency (%)
255 60
1.0%
254 9
 
0.1%
253 6
 
0.1%
252 7
 
0.1%
251 7
 
0.1%

679
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.90866667
Minimum0
Maximum255
Zeros3096
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:19.909473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3132
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation84.89849597
Coefficient of variation (CV)1.328434787
Kurtosis-0.6993146966
Mean63.90866667
Median Absolute Deviation (MAD)0
Skewness0.9343154448
Sum383452
Variance7207.754617
MonotonicityNot monotonic
2025-03-21T22:40:19.977000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3096
51.6%
255 56
 
0.9%
1 35
 
0.6%
2 32
 
0.5%
3 24
 
0.4%
195 23
 
0.4%
214 23
 
0.4%
226 23
 
0.4%
207 21
 
0.4%
227 21
 
0.4%
Other values (246) 2646
44.1%
ValueCountFrequency (%)
0 3096
51.6%
1 35
 
0.6%
2 32
 
0.5%
3 24
 
0.4%
4 13
 
0.2%
ValueCountFrequency (%)
255 56
0.9%
254 11
 
0.2%
253 9
 
0.1%
252 6
 
0.1%
251 3
 
0.1%

680
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.21933333
Minimum0
Maximum255
Zeros2611
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:20.041573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q3176
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation91.90746283
Coefficient of variation (CV)1.091286991
Kurtosis-1.390380164
Mean84.21933333
Median Absolute Deviation (MAD)45
Skewness0.4921827478
Sum505316
Variance8446.981723
MonotonicityNot monotonic
2025-03-21T22:40:20.109987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2611
43.5%
255 82
 
1.4%
2 31
 
0.5%
216 31
 
0.5%
227 30
 
0.5%
229 29
 
0.5%
218 29
 
0.5%
1 29
 
0.5%
220 28
 
0.5%
203 28
 
0.5%
Other values (246) 3072
51.2%
ValueCountFrequency (%)
0 2611
43.5%
1 29
 
0.5%
2 31
 
0.5%
3 16
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 82
1.4%
254 12
 
0.2%
253 12
 
0.2%
252 4
 
0.1%
251 10
 
0.2%

681
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.3376667
Minimum0
Maximum255
Zeros2178
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:20.174251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median95
Q3196
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation93.81228476
Coefficient of variation (CV)0.9349657798
Kurtosis-1.621758828
Mean100.3376667
Median Absolute Deviation (MAD)95
Skewness0.1736969478
Sum602026
Variance8800.744772
MonotonicityNot monotonic
2025-03-21T22:40:20.237420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2178
36.3%
255 73
 
1.2%
216 44
 
0.7%
225 42
 
0.7%
212 40
 
0.7%
1 40
 
0.7%
229 40
 
0.7%
226 38
 
0.6%
224 37
 
0.6%
214 35
 
0.6%
Other values (246) 3433
57.2%
ValueCountFrequency (%)
0 2178
36.3%
1 40
 
0.7%
2 17
 
0.3%
3 13
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 73
1.2%
254 7
 
0.1%
253 10
 
0.2%
252 7
 
0.1%
251 6
 
0.1%

682
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.1956667
Minimum0
Maximum255
Zeros1861
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:20.299774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation92.63765075
Coefficient of variation (CV)0.833104864
Kurtosis-1.62812473
Mean111.1956667
Median Absolute Deviation (MAD)94
Skewness-0.03323555774
Sum667174
Variance8581.734337
MonotonicityNot monotonic
2025-03-21T22:40:20.364518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1861
31.0%
218 50
 
0.8%
225 45
 
0.8%
255 44
 
0.7%
232 44
 
0.7%
223 44
 
0.7%
228 43
 
0.7%
211 42
 
0.7%
212 41
 
0.7%
205 40
 
0.7%
Other values (246) 3746
62.4%
ValueCountFrequency (%)
0 1861
31.0%
1 21
 
0.4%
2 13
 
0.2%
3 11
 
0.2%
4 15
 
0.2%
ValueCountFrequency (%)
255 44
0.7%
254 7
 
0.1%
253 5
 
0.1%
252 6
 
0.1%
251 8
 
0.1%

683
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.5583333
Minimum0
Maximum255
Zeros1753
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:20.427917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median138
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation93.47913487
Coefficient of variation (CV)0.7884653254
Kurtosis-1.609668316
Mean118.5583333
Median Absolute Deviation (MAD)84
Skewness-0.1529648144
Sum711350
Variance8738.348655
MonotonicityNot monotonic
2025-03-21T22:40:20.494970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1753
29.2%
228 52
 
0.9%
229 49
 
0.8%
232 48
 
0.8%
207 47
 
0.8%
231 47
 
0.8%
213 46
 
0.8%
222 45
 
0.8%
224 44
 
0.7%
216 44
 
0.7%
Other values (246) 3825
63.7%
ValueCountFrequency (%)
0 1753
29.2%
1 21
 
0.4%
2 15
 
0.2%
3 8
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
255 43
0.7%
254 9
 
0.1%
253 9
 
0.1%
252 12
 
0.2%
251 12
 
0.2%

684
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.7805
Minimum0
Maximum255
Zeros1774
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:20.559807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median133
Q3208
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation93.72447047
Coefficient of variation (CV)0.8025695255
Kurtosis-1.618985439
Mean116.7805
Median Absolute Deviation (MAD)89
Skewness-0.1070295861
Sum700683
Variance8784.276366
MonotonicityNot monotonic
2025-03-21T22:40:20.628000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1774
29.6%
255 62
 
1.0%
223 55
 
0.9%
216 51
 
0.9%
231 46
 
0.8%
227 44
 
0.7%
225 43
 
0.7%
222 43
 
0.7%
234 42
 
0.7%
232 42
 
0.7%
Other values (246) 3798
63.3%
ValueCountFrequency (%)
0 1774
29.6%
1 17
 
0.3%
2 12
 
0.2%
3 12
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 62
1.0%
254 11
 
0.2%
253 12
 
0.2%
252 7
 
0.1%
251 8
 
0.1%

685
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.2111667
Minimum0
Maximum255
Zeros2042
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:20.874263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3202
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.2044779
Coefficient of variation (CV)0.8869545534
Kurtosis-1.647393978
Mean106.2111667
Median Absolute Deviation (MAD)109
Skewness0.07307142224
Sum637267
Variance8874.483656
MonotonicityNot monotonic
2025-03-21T22:40:20.937306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2042
34.0%
255 52
 
0.9%
214 46
 
0.8%
232 41
 
0.7%
227 41
 
0.7%
223 41
 
0.7%
226 40
 
0.7%
225 40
 
0.7%
220 40
 
0.7%
221 40
 
0.7%
Other values (246) 3577
59.6%
ValueCountFrequency (%)
0 2042
34.0%
1 23
 
0.4%
2 16
 
0.3%
3 12
 
0.2%
4 14
 
0.2%
ValueCountFrequency (%)
255 52
0.9%
254 10
 
0.2%
253 6
 
0.1%
252 8
 
0.1%
251 12
 
0.2%

686
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.16883333
Minimum0
Maximum255
Zeros2316
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.002233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88
Q3197
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.88626822
Coefficient of variation (CV)0.9665620441
Kurtosis-1.648972868
Mean98.16883333
Median Absolute Deviation (MAD)88
Skewness0.2071278423
Sum589013
Variance9003.403896
MonotonicityNot monotonic
2025-03-21T22:40:21.069320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2316
38.6%
219 44
 
0.7%
209 43
 
0.7%
226 42
 
0.7%
255 41
 
0.7%
207 41
 
0.7%
222 41
 
0.7%
218 41
 
0.7%
217 38
 
0.6%
211 36
 
0.6%
Other values (245) 3317
55.3%
ValueCountFrequency (%)
0 2316
38.6%
1 31
 
0.5%
2 23
 
0.4%
3 20
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
255 41
0.7%
254 8
 
0.1%
253 5
 
0.1%
252 5
 
0.1%
250 10
 
0.2%

687
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.1616667
Minimum0
Maximum255
Zeros2120
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.134473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3199
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation94.3270311
Coefficient of variation (CV)0.9143612559
Kurtosis-1.647899751
Mean103.1616667
Median Absolute Deviation (MAD)101
Skewness0.1248399115
Sum618970
Variance8897.588795
MonotonicityNot monotonic
2025-03-21T22:40:21.197226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2120
35.3%
255 49
 
0.8%
229 43
 
0.7%
210 42
 
0.7%
226 42
 
0.7%
211 41
 
0.7%
222 39
 
0.7%
215 39
 
0.7%
219 38
 
0.6%
217 38
 
0.6%
Other values (246) 3509
58.5%
ValueCountFrequency (%)
0 2120
35.3%
1 20
 
0.3%
2 18
 
0.3%
3 18
 
0.3%
4 13
 
0.2%
ValueCountFrequency (%)
255 49
0.8%
254 16
 
0.3%
253 7
 
0.1%
252 8
 
0.1%
251 8
 
0.1%

688
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.192
Minimum0
Maximum255
Zeros1985
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.260428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3204
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation95.2150222
Coefficient of variation (CV)0.8719963203
Kurtosis-1.677434209
Mean109.192
Median Absolute Deviation (MAD)105
Skewness0.01528585007
Sum655152
Variance9065.900453
MonotonicityNot monotonic
2025-03-21T22:40:21.324556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1985
33.1%
217 45
 
0.8%
227 44
 
0.7%
219 44
 
0.7%
210 43
 
0.7%
233 42
 
0.7%
255 42
 
0.7%
206 41
 
0.7%
215 41
 
0.7%
222 41
 
0.7%
Other values (246) 3632
60.5%
ValueCountFrequency (%)
0 1985
33.1%
1 38
 
0.6%
2 26
 
0.4%
3 22
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 42
0.7%
254 11
 
0.2%
253 8
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

689
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.1585
Minimum0
Maximum255
Zeros2005
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.386165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3203
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation95.08785233
Coefficient of variation (CV)0.8873570676
Kurtosis-1.678694914
Mean107.1585
Median Absolute Deviation (MAD)109
Skewness0.04686950144
Sum642951
Variance9041.699661
MonotonicityNot monotonic
2025-03-21T22:40:21.449598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2005
33.4%
1 63
 
1.1%
226 49
 
0.8%
218 45
 
0.8%
222 44
 
0.7%
219 43
 
0.7%
209 43
 
0.7%
216 42
 
0.7%
206 41
 
0.7%
230 40
 
0.7%
Other values (246) 3585
59.8%
ValueCountFrequency (%)
0 2005
33.4%
1 63
 
1.1%
2 37
 
0.6%
3 26
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 38
0.6%
254 8
 
0.1%
253 7
 
0.1%
252 13
 
0.2%
251 6
 
0.1%

690
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.36133333
Minimum0
Maximum255
Zeros2178
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.512606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median87
Q3194
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation92.90977241
Coefficient of variation (CV)0.954277938
Kurtosis-1.613738101
Mean97.36133333
Median Absolute Deviation (MAD)87
Skewness0.2131601906
Sum584168
Variance8632.225809
MonotonicityNot monotonic
2025-03-21T22:40:21.576673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2178
36.3%
1 49
 
0.8%
2 40
 
0.7%
255 40
 
0.7%
204 39
 
0.7%
218 38
 
0.6%
203 38
 
0.6%
200 38
 
0.6%
205 37
 
0.6%
227 37
 
0.6%
Other values (245) 3466
57.8%
ValueCountFrequency (%)
0 2178
36.3%
1 49
 
0.8%
2 40
 
0.7%
3 33
 
0.5%
4 25
 
0.4%
ValueCountFrequency (%)
255 40
0.7%
254 5
 
0.1%
253 8
 
0.1%
252 5
 
0.1%
251 7
 
0.1%

691
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.55033333
Minimum0
Maximum255
Zeros2584
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.638849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median43
Q3178
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation92.32069099
Coefficient of variation (CV)1.091902153
Kurtosis-1.426748271
Mean84.55033333
Median Absolute Deviation (MAD)43
Skewness0.4763919561
Sum507302
Variance8523.109985
MonotonicityNot monotonic
2025-03-21T22:40:21.703232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2584
43.1%
255 72
 
1.2%
1 44
 
0.7%
2 39
 
0.7%
210 36
 
0.6%
214 33
 
0.5%
215 32
 
0.5%
204 31
 
0.5%
202 29
 
0.5%
224 29
 
0.5%
Other values (246) 3071
51.2%
ValueCountFrequency (%)
0 2584
43.1%
1 44
 
0.7%
2 39
 
0.7%
3 29
 
0.5%
4 19
 
0.3%
ValueCountFrequency (%)
255 72
1.2%
254 6
 
0.1%
253 14
 
0.2%
252 8
 
0.1%
251 6
 
0.1%

692
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.95466667
Minimum0
Maximum255
Zeros3011
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.769382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3140
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation85.23334871
Coefficient of variation (CV)1.292302016
Kurtosis-0.8383405771
Mean65.95466667
Median Absolute Deviation (MAD)0
Skewness0.8658049333
Sum395728
Variance7264.723732
MonotonicityNot monotonic
2025-03-21T22:40:21.835409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3011
50.2%
1 51
 
0.9%
255 41
 
0.7%
2 35
 
0.6%
3 29
 
0.5%
225 23
 
0.4%
222 23
 
0.4%
196 23
 
0.4%
208 23
 
0.4%
221 22
 
0.4%
Other values (246) 2719
45.3%
ValueCountFrequency (%)
0 3011
50.2%
1 51
 
0.9%
2 35
 
0.6%
3 29
 
0.5%
4 20
 
0.3%
ValueCountFrequency (%)
255 41
0.7%
254 6
 
0.1%
253 3
 
0.1%
252 5
 
0.1%
251 4
 
0.1%

693
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.68216667
Minimum0
Maximum255
Zeros3324
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:21.898531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3127
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation84.65335501
Coefficient of variation (CV)1.418402845
Kurtosis-0.564944256
Mean59.68216667
Median Absolute Deviation (MAD)0
Skewness1.027687493
Sum358093
Variance7166.190514
MonotonicityNot monotonic
2025-03-21T22:40:21.967272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3324
55.4%
1 50
 
0.8%
255 43
 
0.7%
2 37
 
0.6%
3 29
 
0.5%
4 26
 
0.4%
194 23
 
0.4%
5 22
 
0.4%
219 21
 
0.4%
224 20
 
0.3%
Other values (246) 2405
40.1%
ValueCountFrequency (%)
0 3324
55.4%
1 50
 
0.8%
2 37
 
0.6%
3 29
 
0.5%
4 26
 
0.4%
ValueCountFrequency (%)
255 43
0.7%
254 9
 
0.1%
253 7
 
0.1%
252 2
 
< 0.1%
251 3
 
0.1%

694
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.555
Minimum0
Maximum255
Zeros3462
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:22.033721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3138
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)138

Descriptive statistics

Standard deviation88.73715694
Coefficient of variation (CV)1.441591373
Kurtosis-0.7023679522
Mean61.555
Median Absolute Deviation (MAD)0
Skewness0.9939420948
Sum369330
Variance7874.283022
MonotonicityNot monotonic
2025-03-21T22:40:22.100945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3462
57.7%
255 68
 
1.1%
1 61
 
1.0%
2 50
 
0.8%
4 35
 
0.6%
3 34
 
0.6%
217 29
 
0.5%
5 29
 
0.5%
205 27
 
0.4%
226 25
 
0.4%
Other values (246) 2180
36.3%
ValueCountFrequency (%)
0 3462
57.7%
1 61
 
1.0%
2 50
 
0.8%
3 34
 
0.6%
4 35
 
0.6%
ValueCountFrequency (%)
255 68
1.1%
254 14
 
0.2%
253 9
 
0.1%
252 9
 
0.1%
251 7
 
0.1%

695
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.49566667
Minimum0
Maximum255
Zeros3602
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:22.164863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3106.25
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)106.25

Descriptive statistics

Standard deviation81.54680432
Coefficient of variation (CV)1.55340068
Kurtosis-0.2203852195
Mean52.49566667
Median Absolute Deviation (MAD)0
Skewness1.185025588
Sum314974
Variance6649.881295
MonotonicityNot monotonic
2025-03-21T22:40:22.417792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3602
60.0%
1 104
 
1.7%
2 61
 
1.0%
3 50
 
0.8%
4 42
 
0.7%
255 27
 
0.4%
5 26
 
0.4%
219 21
 
0.4%
195 21
 
0.4%
182 21
 
0.4%
Other values (243) 2025
33.8%
ValueCountFrequency (%)
0 3602
60.0%
1 104
 
1.7%
2 61
 
1.0%
3 50
 
0.8%
4 42
 
0.7%
ValueCountFrequency (%)
255 27
0.4%
254 7
 
0.1%
253 3
 
0.1%
252 1
 
< 0.1%
251 8
 
0.1%

696
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.21183333
Minimum0
Maximum255
Zeros4324
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:22.481772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile202
Maximum255
Range255
Interquartile range (IQR)11

Descriptive statistics

Standard deviation67.31833024
Coefficient of variation (CV)1.9676914
Kurtosis1.850520729
Mean34.21183333
Median Absolute Deviation (MAD)0
Skewness1.807915419
Sum205271
Variance4531.757586
MonotonicityNot monotonic
2025-03-21T22:40:22.546942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4324
72.1%
1 57
 
0.9%
2 34
 
0.6%
3 26
 
0.4%
4 17
 
0.3%
255 14
 
0.2%
5 14
 
0.2%
179 14
 
0.2%
214 14
 
0.2%
209 13
 
0.2%
Other values (246) 1473
 
24.6%
ValueCountFrequency (%)
0 4324
72.1%
1 57
 
0.9%
2 34
 
0.6%
3 26
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
255 14
0.2%
254 3
 
0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

697
Real number (ℝ)

Zeros 

Distinct250
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.37216667
Minimum0
Maximum255
Zeros5065
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:22.610400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile175
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54.12928956
Coefficient of variation (CV)2.794178395
Kurtosis6.870570343
Mean19.37216667
Median Absolute Deviation (MAD)0
Skewness2.836126135
Sum116233
Variance2929.979989
MonotonicityNot monotonic
2025-03-21T22:40:22.677298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5065
84.4%
1 30
 
0.5%
2 17
 
0.3%
4 12
 
0.2%
3 11
 
0.2%
224 10
 
0.2%
6 9
 
0.1%
85 9
 
0.1%
198 9
 
0.1%
209 8
 
0.1%
Other values (240) 820
 
13.7%
ValueCountFrequency (%)
0 5065
84.4%
1 30
 
0.5%
2 17
 
0.3%
3 11
 
0.2%
4 12
 
0.2%
ValueCountFrequency (%)
255 5
0.1%
254 2
 
< 0.1%
252 4
0.1%
251 2
 
< 0.1%
250 1
 
< 0.1%

698
Real number (ℝ)

Zeros 

Distinct218
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.81316667
Minimum0
Maximum255
Zeros5421
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:22.743366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile97.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.46017066
Coefficient of variation (CV)3.834230243
Kurtosis17.59238846
Mean10.81316667
Median Absolute Deviation (MAD)0
Skewness4.225508583
Sum64879
Variance1718.945751
MonotonicityNot monotonic
2025-03-21T22:40:22.808301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5421
90.3%
1 21
 
0.4%
2 18
 
0.3%
255 16
 
0.3%
4 9
 
0.1%
8 7
 
0.1%
3 7
 
0.1%
219 6
 
0.1%
48 6
 
0.1%
70 6
 
0.1%
Other values (208) 483
 
8.1%
ValueCountFrequency (%)
0 5421
90.3%
1 21
 
0.4%
2 18
 
0.3%
3 7
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
255 16
0.3%
254 2
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

699
Real number (ℝ)

Zeros 

Distinct119
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.198
Minimum0
Maximum214
Zeros5772
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:22.873669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum214
Range214
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.3524508
Coefficient of variation (CV)6.984736489
Kurtosis76.33801885
Mean2.198
Median Absolute Deviation (MAD)0
Skewness8.362495037
Sum13188
Variance235.6977456
MonotonicityNot monotonic
2025-03-21T22:40:22.938648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5772
96.2%
1 17
 
0.3%
2 12
 
0.2%
4 9
 
0.1%
3 7
 
0.1%
5 6
 
0.1%
18 6
 
0.1%
30 5
 
0.1%
6 4
 
0.1%
24 4
 
0.1%
Other values (109) 158
 
2.6%
ValueCountFrequency (%)
0 5772
96.2%
1 17
 
0.3%
2 12
 
0.2%
3 7
 
0.1%
4 9
 
0.1%
ValueCountFrequency (%)
214 1
< 0.1%
211 1
< 0.1%
201 1
< 0.1%
191 1
< 0.1%
184 2
< 0.1%

700
Real number (ℝ)

Zeros 

Distinct55
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7261666667
Minimum0
Maximum165
Zeros5876
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:23.004503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum165
Range165
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.909821501
Coefficient of variation (CV)10.89257035
Kurtosis206.3988736
Mean0.7261666667
Median Absolute Deviation (MAD)0
Skewness13.55790827
Sum4357
Variance62.56527618
MonotonicityNot monotonic
2025-03-21T22:40:23.069992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5876
97.9%
1 33
 
0.5%
2 10
 
0.2%
3 6
 
0.1%
4 4
 
0.1%
14 3
 
0.1%
43 3
 
0.1%
23 3
 
0.1%
32 3
 
0.1%
78 2
 
< 0.1%
Other values (45) 57
 
0.9%
ValueCountFrequency (%)
0 5876
97.9%
1 33
 
0.5%
2 10
 
0.2%
3 6
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
165 1
< 0.1%
164 1
< 0.1%
161 1
< 0.1%
137 1
< 0.1%
133 1
< 0.1%

701
Real number (ℝ)

Zeros 

Distinct132
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.303333333
Minimum0
Maximum255
Zeros5763
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:23.136238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.98140546
Coefficient of variation (CV)6.654310431
Kurtosis65.66652752
Mean3.303333333
Median Absolute Deviation (MAD)0
Skewness7.801427573
Sum19820
Variance483.1821859
MonotonicityNot monotonic
2025-03-21T22:40:23.201476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5763
96.0%
1 19
 
0.3%
2 12
 
0.2%
3 10
 
0.2%
255 5
 
0.1%
5 5
 
0.1%
62 4
 
0.1%
4 4
 
0.1%
9 4
 
0.1%
8 3
 
0.1%
Other values (122) 171
 
2.9%
ValueCountFrequency (%)
0 5763
96.0%
1 19
 
0.3%
2 12
 
0.2%
3 10
 
0.2%
4 4
 
0.1%
ValueCountFrequency (%)
255 5
0.1%
254 1
 
< 0.1%
242 2
 
< 0.1%
241 1
 
< 0.1%
238 1
 
< 0.1%

702
Real number (ℝ)

Zeros 

Distinct206
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7285
Minimum0
Maximum255
Zeros5564
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:23.265237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile55.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.15526633
Coefficient of variation (CV)4.419391387
Kurtosis24.09163971
Mean7.7285
Median Absolute Deviation (MAD)0
Skewness4.877410385
Sum46371
Variance1166.582218
MonotonicityNot monotonic
2025-03-21T22:40:23.328540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5564
92.7%
1 25
 
0.4%
2 10
 
0.2%
3 6
 
0.1%
4 6
 
0.1%
5 6
 
0.1%
171 5
 
0.1%
255 5
 
0.1%
41 5
 
0.1%
149 5
 
0.1%
Other values (196) 363
 
6.0%
ValueCountFrequency (%)
0 5564
92.7%
1 25
 
0.4%
2 10
 
0.2%
3 6
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
255 5
0.1%
254 1
 
< 0.1%
252 2
 
< 0.1%
250 1
 
< 0.1%
248 1
 
< 0.1%

703
Real number (ℝ)

Zeros 

Distinct242
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.9435
Minimum0
Maximum255
Zeros5047
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:23.391337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile160.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.05593102
Coefficient of variation (CV)2.845371919
Kurtosis7.699709316
Mean17.9435
Median Absolute Deviation (MAD)0
Skewness2.948859264
Sum107661
Variance2606.708092
MonotonicityNot monotonic
2025-03-21T22:40:23.454956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5047
84.1%
1 56
 
0.9%
2 23
 
0.4%
4 15
 
0.2%
193 11
 
0.2%
3 9
 
0.1%
228 9
 
0.1%
73 9
 
0.1%
137 9
 
0.1%
210 9
 
0.1%
Other values (232) 803
 
13.4%
ValueCountFrequency (%)
0 5047
84.1%
1 56
 
0.9%
2 23
 
0.4%
3 9
 
0.1%
4 15
 
0.2%
ValueCountFrequency (%)
255 8
0.1%
254 3
 
0.1%
253 1
 
< 0.1%
249 2
 
< 0.1%
248 1
 
< 0.1%

704
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.54133333
Minimum0
Maximum255
Zeros4166
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:23.517222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q329
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)29

Descriptive statistics

Standard deviation69.54308495
Coefficient of variation (CV)1.903134851
Kurtosis1.550396254
Mean36.54133333
Median Absolute Deviation (MAD)0
Skewness1.730887879
Sum219248
Variance4836.240665
MonotonicityNot monotonic
2025-03-21T22:40:23.580469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4166
69.4%
1 66
 
1.1%
2 50
 
0.8%
3 46
 
0.8%
4 23
 
0.4%
222 14
 
0.2%
5 14
 
0.2%
207 13
 
0.2%
169 13
 
0.2%
95 13
 
0.2%
Other values (245) 1582
 
26.4%
ValueCountFrequency (%)
0 4166
69.4%
1 66
 
1.1%
2 50
 
0.8%
3 46
 
0.8%
4 23
 
0.4%
ValueCountFrequency (%)
255 10
0.2%
254 6
0.1%
252 3
 
0.1%
251 5
0.1%
250 1
 
< 0.1%

705
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.89233333
Minimum0
Maximum255
Zeros3771
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:23.643292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q394
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)94

Descriptive statistics

Standard deviation83.25547021
Coefficient of variation (CV)1.635913796
Kurtosis-0.0262471011
Mean50.89233333
Median Absolute Deviation (MAD)0
Skewness1.27997202
Sum305354
Variance6931.47332
MonotonicityNot monotonic
2025-03-21T22:40:23.883042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3771
62.8%
1 80
 
1.3%
2 57
 
0.9%
3 51
 
0.9%
255 42
 
0.7%
4 41
 
0.7%
6 24
 
0.4%
5 24
 
0.4%
216 22
 
0.4%
208 22
 
0.4%
Other values (246) 1866
31.1%
ValueCountFrequency (%)
0 3771
62.8%
1 80
 
1.3%
2 57
 
0.9%
3 51
 
0.9%
4 41
 
0.7%
ValueCountFrequency (%)
255 42
0.7%
254 5
 
0.1%
253 2
 
< 0.1%
252 6
 
0.1%
251 6
 
0.1%

706
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.4105
Minimum0
Maximum255
Zeros3609
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:23.945006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3115
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)115

Descriptive statistics

Standard deviation84.18190872
Coefficient of variation (CV)1.519241095
Kurtosis-0.3472684279
Mean55.4105
Median Absolute Deviation (MAD)0
Skewness1.138834621
Sum332463
Variance7086.593755
MonotonicityNot monotonic
2025-03-21T22:40:24.014487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3609
60.2%
255 49
 
0.8%
1 49
 
0.8%
2 40
 
0.7%
3 40
 
0.7%
210 24
 
0.4%
4 24
 
0.4%
223 20
 
0.3%
200 19
 
0.3%
199 19
 
0.3%
Other values (246) 2107
35.1%
ValueCountFrequency (%)
0 3609
60.2%
1 49
 
0.8%
2 40
 
0.7%
3 40
 
0.7%
4 24
 
0.4%
ValueCountFrequency (%)
255 49
0.8%
254 8
 
0.1%
253 5
 
0.1%
252 8
 
0.1%
251 10
 
0.2%

707
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.8255
Minimum0
Maximum255
Zeros3485
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:24.080736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3103
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation80.46782314
Coefficient of variation (CV)1.49497586
Kurtosis-0.1743839442
Mean53.8255
Median Absolute Deviation (MAD)0
Skewness1.176222477
Sum322953
Variance6475.070562
MonotonicityNot monotonic
2025-03-21T22:40:24.150299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3485
58.1%
1 43
 
0.7%
2 32
 
0.5%
255 26
 
0.4%
219 25
 
0.4%
215 23
 
0.4%
3 23
 
0.4%
145 21
 
0.4%
220 21
 
0.4%
4 20
 
0.3%
Other values (246) 2281
38.0%
ValueCountFrequency (%)
0 3485
58.1%
1 43
 
0.7%
2 32
 
0.5%
3 23
 
0.4%
4 20
 
0.3%
ValueCountFrequency (%)
255 26
0.4%
254 4
 
0.1%
253 4
 
0.1%
252 6
 
0.1%
251 4
 
0.1%

708
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.2725
Minimum0
Maximum255
Zeros3056
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:24.217711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3160
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)160

Descriptive statistics

Standard deviation89.57556702
Coefficient of variation (CV)1.239414259
Kurtosis-1.131467036
Mean72.2725
Median Absolute Deviation (MAD)0
Skewness0.7192873378
Sum433635
Variance8023.782207
MonotonicityNot monotonic
2025-03-21T22:40:24.287745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3056
50.9%
255 58
 
1.0%
2 34
 
0.6%
1 30
 
0.5%
226 25
 
0.4%
228 25
 
0.4%
217 25
 
0.4%
197 24
 
0.4%
210 23
 
0.4%
222 23
 
0.4%
Other values (246) 2677
44.6%
ValueCountFrequency (%)
0 3056
50.9%
1 30
 
0.5%
2 34
 
0.6%
3 23
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
255 58
1.0%
254 8
 
0.1%
253 4
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

709
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.69033333
Minimum0
Maximum255
Zeros2570
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:24.356688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median52
Q3187
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation93.79632934
Coefficient of variation (CV)1.069631347
Kurtosis-1.509096527
Mean87.69033333
Median Absolute Deviation (MAD)52
Skewness0.4121001183
Sum526142
Variance8797.751398
MonotonicityNot monotonic
2025-03-21T22:40:24.422665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2570
42.8%
255 58
 
1.0%
3 44
 
0.7%
2 42
 
0.7%
216 35
 
0.6%
224 34
 
0.6%
204 32
 
0.5%
208 32
 
0.5%
230 32
 
0.5%
219 32
 
0.5%
Other values (245) 3089
51.5%
ValueCountFrequency (%)
0 2570
42.8%
1 31
 
0.5%
2 42
 
0.7%
3 44
 
0.7%
4 22
 
0.4%
ValueCountFrequency (%)
255 58
1.0%
254 11
 
0.2%
253 11
 
0.2%
252 7
 
0.1%
251 12
 
0.2%

710
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.60766667
Minimum0
Maximum255
Zeros2293
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:24.485859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median89
Q3194
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation93.76732974
Coefficient of variation (CV)0.9606553762
Kurtosis-1.629663157
Mean97.60766667
Median Absolute Deviation (MAD)89
Skewness0.2060937476
Sum585646
Variance8792.312127
MonotonicityNot monotonic
2025-03-21T22:40:24.552647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2293
38.2%
255 45
 
0.8%
225 42
 
0.7%
228 41
 
0.7%
200 41
 
0.7%
221 39
 
0.7%
218 39
 
0.7%
222 39
 
0.7%
219 38
 
0.6%
217 38
 
0.6%
Other values (246) 3345
55.8%
ValueCountFrequency (%)
0 2293
38.2%
1 28
 
0.5%
2 21
 
0.4%
3 21
 
0.4%
4 20
 
0.3%
ValueCountFrequency (%)
255 45
0.8%
254 6
 
0.1%
253 8
 
0.1%
252 6
 
0.1%
251 5
 
0.1%

711
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.194
Minimum0
Maximum255
Zeros2160
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:24.618278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median108
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation95.21938608
Coefficient of variation (CV)0.9051788703
Kurtosis-1.677585981
Mean105.194
Median Absolute Deviation (MAD)108
Skewness0.0768515098
Sum631164
Variance9066.731486
MonotonicityNot monotonic
2025-03-21T22:40:24.681029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2160
36.0%
255 48
 
0.8%
230 47
 
0.8%
229 45
 
0.8%
224 44
 
0.7%
221 44
 
0.7%
220 43
 
0.7%
228 41
 
0.7%
232 41
 
0.7%
208 41
 
0.7%
Other values (245) 3446
57.4%
ValueCountFrequency (%)
0 2160
36.0%
1 24
 
0.4%
2 23
 
0.4%
3 21
 
0.4%
4 14
 
0.2%
ValueCountFrequency (%)
255 48
0.8%
254 7
 
0.1%
253 11
 
0.2%
252 10
 
0.2%
251 8
 
0.1%

712
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.2495
Minimum0
Maximum255
Zeros2167
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:24.744563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median104
Q3201
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation95.19509231
Coefficient of variation (CV)0.9131467519
Kurtosis-1.671227478
Mean104.2495
Median Absolute Deviation (MAD)104
Skewness0.1017343754
Sum625497
Variance9062.105601
MonotonicityNot monotonic
2025-03-21T22:40:24.810591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2167
36.1%
223 54
 
0.9%
212 49
 
0.8%
255 48
 
0.8%
220 47
 
0.8%
228 43
 
0.7%
232 43
 
0.7%
222 41
 
0.7%
227 41
 
0.7%
231 41
 
0.7%
Other values (246) 3426
57.1%
ValueCountFrequency (%)
0 2167
36.1%
1 27
 
0.4%
2 21
 
0.4%
3 15
 
0.2%
4 13
 
0.2%
ValueCountFrequency (%)
255 48
0.8%
254 2
 
< 0.1%
253 8
 
0.1%
252 13
 
0.2%
251 8
 
0.1%

713
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.3025
Minimum0
Maximum255
Zeros2416
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:24.875340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median76
Q3192.25
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)192.25

Descriptive statistics

Standard deviation93.90376091
Coefficient of variation (CV)0.9957717018
Kurtosis-1.613898878
Mean94.3025
Median Absolute Deviation (MAD)76
Skewness0.2671649921
Sum565815
Variance8817.916313
MonotonicityNot monotonic
2025-03-21T22:40:24.940130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2416
40.3%
224 39
 
0.7%
227 39
 
0.7%
221 38
 
0.6%
206 38
 
0.6%
208 37
 
0.6%
226 36
 
0.6%
223 35
 
0.6%
209 35
 
0.6%
229 35
 
0.6%
Other values (246) 3252
54.2%
ValueCountFrequency (%)
0 2416
40.3%
1 21
 
0.4%
2 31
 
0.5%
3 20
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
255 30
0.5%
254 9
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 6
 
0.1%

714
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.29516667
Minimum0
Maximum255
Zeros2681
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:25.006514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median43
Q3187
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation93.66101523
Coefficient of variation (CV)1.085356444
Kurtosis-1.528232427
Mean86.29516667
Median Absolute Deviation (MAD)43
Skewness0.4199395199
Sum517771
Variance8772.385774
MonotonicityNot monotonic
2025-03-21T22:40:25.073414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2681
44.7%
2 41
 
0.7%
231 39
 
0.7%
230 39
 
0.7%
220 37
 
0.6%
255 36
 
0.6%
218 34
 
0.6%
209 33
 
0.5%
205 32
 
0.5%
221 32
 
0.5%
Other values (243) 2996
49.9%
ValueCountFrequency (%)
0 2681
44.7%
1 23
 
0.4%
2 41
 
0.7%
3 25
 
0.4%
4 31
 
0.5%
ValueCountFrequency (%)
255 36
0.6%
254 8
 
0.1%
253 6
 
0.1%
252 4
 
0.1%
251 10
 
0.2%

715
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.60333333
Minimum0
Maximum255
Zeros2476
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:25.139113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67
Q3191
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation93.77515104
Coefficient of variation (CV)1.023708937
Kurtosis-1.578146295
Mean91.60333333
Median Absolute Deviation (MAD)67
Skewness0.3257628843
Sum549620
Variance8793.778952
MonotonicityNot monotonic
2025-03-21T22:40:25.206917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2476
41.3%
255 42
 
0.7%
233 41
 
0.7%
209 41
 
0.7%
231 35
 
0.6%
222 35
 
0.6%
206 35
 
0.6%
202 34
 
0.6%
223 34
 
0.6%
232 34
 
0.6%
Other values (246) 3193
53.2%
ValueCountFrequency (%)
0 2476
41.3%
1 32
 
0.5%
2 33
 
0.5%
3 24
 
0.4%
4 18
 
0.3%
ValueCountFrequency (%)
255 42
0.7%
254 9
 
0.1%
253 4
 
0.1%
252 9
 
0.1%
251 7
 
0.1%

716
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.09583333
Minimum0
Maximum255
Zeros2348
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:25.463434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median85
Q3198
95-th percentile235.05
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation95.49052687
Coefficient of variation (CV)0.9734412118
Kurtosis-1.667548213
Mean98.09583333
Median Absolute Deviation (MAD)85
Skewness0.2037618374
Sum588575
Variance9118.440723
MonotonicityNot monotonic
2025-03-21T22:40:25.532720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2348
39.1%
2 44
 
0.7%
225 43
 
0.7%
232 41
 
0.7%
213 39
 
0.7%
220 39
 
0.7%
229 38
 
0.6%
206 38
 
0.6%
230 38
 
0.6%
221 36
 
0.6%
Other values (246) 3296
54.9%
ValueCountFrequency (%)
0 2348
39.1%
1 35
 
0.6%
2 44
 
0.7%
3 30
 
0.5%
4 14
 
0.2%
ValueCountFrequency (%)
255 30
0.5%
254 6
 
0.1%
253 4
 
0.1%
252 6
 
0.1%
251 9
 
0.1%

717
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.5975
Minimum0
Maximum255
Zeros2356
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:25.598964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3196
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation94.99563949
Coefficient of variation (CV)0.9834171639
Kurtosis-1.653037227
Mean96.5975
Median Absolute Deviation (MAD)80
Skewness0.2276315922
Sum579585
Variance9024.171522
MonotonicityNot monotonic
2025-03-21T22:40:25.668589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2356
39.3%
1 51
 
0.9%
2 43
 
0.7%
214 40
 
0.7%
222 40
 
0.7%
227 39
 
0.7%
230 39
 
0.7%
229 38
 
0.6%
219 38
 
0.6%
225 36
 
0.6%
Other values (245) 3280
54.7%
ValueCountFrequency (%)
0 2356
39.3%
1 51
 
0.9%
2 43
 
0.7%
3 24
 
0.4%
4 19
 
0.3%
ValueCountFrequency (%)
255 27
0.4%
254 9
 
0.1%
253 6
 
0.1%
252 6
 
0.1%
251 4
 
0.1%

718
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.26133333
Minimum0
Maximum255
Zeros2501
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:25.737530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median53
Q3183
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation92.27317285
Coefficient of variation (CV)1.057434826
Kurtosis-1.532208767
Mean87.26133333
Median Absolute Deviation (MAD)53
Skewness0.3901898945
Sum523568
Variance8514.338428
MonotonicityNot monotonic
2025-03-21T22:40:25.806288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2501
41.7%
1 55
 
0.9%
3 46
 
0.8%
2 43
 
0.7%
214 42
 
0.7%
216 40
 
0.7%
206 35
 
0.6%
210 35
 
0.6%
227 34
 
0.6%
202 34
 
0.6%
Other values (246) 3135
52.2%
ValueCountFrequency (%)
0 2501
41.7%
1 55
 
0.9%
2 43
 
0.7%
3 46
 
0.8%
4 27
 
0.4%
ValueCountFrequency (%)
255 28
0.5%
254 5
 
0.1%
253 4
 
0.1%
252 4
 
0.1%
251 4
 
0.1%

719
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.88683333
Minimum0
Maximum255
Zeros2934
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:25.870850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3165
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)165

Descriptive statistics

Standard deviation90.82000554
Coefficient of variation (CV)1.212763332
Kurtosis-1.223889204
Mean74.88683333
Median Absolute Deviation (MAD)2
Skewness0.6669500685
Sum449321
Variance8248.273406
MonotonicityNot monotonic
2025-03-21T22:40:25.939344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2934
48.9%
255 61
 
1.0%
1 43
 
0.7%
2 36
 
0.6%
3 34
 
0.6%
217 32
 
0.5%
4 29
 
0.5%
206 29
 
0.5%
229 29
 
0.5%
213 28
 
0.5%
Other values (246) 2745
45.8%
ValueCountFrequency (%)
0 2934
48.9%
1 43
 
0.7%
2 36
 
0.6%
3 34
 
0.6%
4 29
 
0.5%
ValueCountFrequency (%)
255 61
1.0%
254 11
 
0.2%
253 7
 
0.1%
252 7
 
0.1%
251 8
 
0.1%

720
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.41333333
Minimum0
Maximum255
Zeros3394
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:26.006979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3112
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)112

Descriptive statistics

Standard deviation81.77543045
Coefficient of variation (CV)1.44957629
Kurtosis-0.3492032485
Mean56.41333333
Median Absolute Deviation (MAD)0
Skewness1.105048482
Sum338480
Variance6687.221026
MonotonicityNot monotonic
2025-03-21T22:40:26.078144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3394
56.6%
1 42
 
0.7%
3 36
 
0.6%
2 32
 
0.5%
255 26
 
0.4%
181 22
 
0.4%
200 19
 
0.3%
4 19
 
0.3%
221 18
 
0.3%
213 18
 
0.3%
Other values (246) 2374
39.6%
ValueCountFrequency (%)
0 3394
56.6%
1 42
 
0.7%
2 32
 
0.5%
3 36
 
0.6%
4 19
 
0.3%
ValueCountFrequency (%)
255 26
0.4%
254 2
 
< 0.1%
253 7
 
0.1%
252 5
 
0.1%
251 7
 
0.1%

721
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.671
Minimum0
Maximum255
Zeros3601
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:26.144519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q399
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)99

Descriptive statistics

Standard deviation79.79122884
Coefficient of variation (CV)1.54421685
Kurtosis-0.09478640508
Mean51.671
Median Absolute Deviation (MAD)0
Skewness1.21909218
Sum310026
Variance6366.640199
MonotonicityNot monotonic
2025-03-21T22:40:26.213712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3601
60.0%
1 50
 
0.8%
3 37
 
0.6%
2 35
 
0.6%
255 26
 
0.4%
206 21
 
0.4%
228 20
 
0.3%
196 20
 
0.3%
204 19
 
0.3%
166 19
 
0.3%
Other values (246) 2152
35.9%
ValueCountFrequency (%)
0 3601
60.0%
1 50
 
0.8%
2 35
 
0.6%
3 37
 
0.6%
4 19
 
0.3%
ValueCountFrequency (%)
255 26
0.4%
254 4
 
0.1%
253 3
 
0.1%
252 3
 
0.1%
251 6
 
0.1%

722
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.00766667
Minimum0
Maximum255
Zeros3700
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:26.282257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3110
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)110

Descriptive statistics

Standard deviation84.70209373
Coefficient of variation (CV)1.568334626
Kurtosis-0.2688456318
Mean54.00766667
Median Absolute Deviation (MAD)0
Skewness1.183750846
Sum324046
Variance7174.444682
MonotonicityNot monotonic
2025-03-21T22:40:26.348350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3700
61.7%
1 59
 
1.0%
2 51
 
0.9%
255 43
 
0.7%
3 37
 
0.6%
4 30
 
0.5%
239 24
 
0.4%
6 24
 
0.4%
218 24
 
0.4%
206 22
 
0.4%
Other values (244) 1986
33.1%
ValueCountFrequency (%)
0 3700
61.7%
1 59
 
1.0%
2 51
 
0.9%
3 37
 
0.6%
4 30
 
0.5%
ValueCountFrequency (%)
255 43
0.7%
254 9
 
0.1%
253 5
 
0.1%
252 2
 
< 0.1%
251 5
 
0.1%

723
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.05716667
Minimum0
Maximum255
Zeros3851
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:26.413105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q374
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)74

Descriptive statistics

Standard deviation77.23723949
Coefficient of variation (CV)1.714205424
Kurtosis0.4521435658
Mean45.05716667
Median Absolute Deviation (MAD)0
Skewness1.426250356
Sum270343
Variance5965.591164
MonotonicityNot monotonic
2025-03-21T22:40:26.478957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3851
64.2%
1 107
 
1.8%
2 64
 
1.1%
3 43
 
0.7%
4 43
 
0.7%
5 33
 
0.5%
255 20
 
0.3%
207 19
 
0.3%
208 18
 
0.3%
224 18
 
0.3%
Other values (244) 1784
29.7%
ValueCountFrequency (%)
0 3851
64.2%
1 107
 
1.8%
2 64
 
1.1%
3 43
 
0.7%
4 43
 
0.7%
ValueCountFrequency (%)
255 20
0.3%
254 5
 
0.1%
253 3
 
0.1%
252 2
 
< 0.1%
251 5
 
0.1%

724
Real number (ℝ)

Zeros 

Distinct252
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.01866667
Minimum0
Maximum255
Zeros4585
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:26.544400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile187
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation60.34965892
Coefficient of variation (CV)2.233628316
Kurtosis3.561870899
Mean27.01866667
Median Absolute Deviation (MAD)0
Skewness2.193059176
Sum162112
Variance3642.081332
MonotonicityNot monotonic
2025-03-21T22:40:26.609286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4585
76.4%
1 50
 
0.8%
2 35
 
0.6%
3 24
 
0.4%
4 20
 
0.3%
159 13
 
0.2%
5 12
 
0.2%
83 11
 
0.2%
103 11
 
0.2%
94 11
 
0.2%
Other values (242) 1228
 
20.5%
ValueCountFrequency (%)
0 4585
76.4%
1 50
 
0.8%
2 35
 
0.6%
3 24
 
0.4%
4 20
 
0.3%
ValueCountFrequency (%)
255 10
0.2%
254 2
 
< 0.1%
253 2
 
< 0.1%
250 2
 
< 0.1%
248 1
 
< 0.1%

725
Real number (ℝ)

Zeros 

Distinct225
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.14916667
Minimum0
Maximum255
Zeros5323
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:26.674575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile128.1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.94141228
Coefficient of variation (CV)3.417814484
Kurtosis12.50039388
Mean13.14916667
Median Absolute Deviation (MAD)0
Skewness3.63823105
Sum78895
Variance2019.730538
MonotonicityNot monotonic
2025-03-21T22:40:26.742700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5323
88.7%
1 29
 
0.5%
2 14
 
0.2%
3 11
 
0.2%
62 7
 
0.1%
39 7
 
0.1%
49 7
 
0.1%
180 7
 
0.1%
61 7
 
0.1%
96 6
 
0.1%
Other values (215) 582
 
9.7%
ValueCountFrequency (%)
0 5323
88.7%
1 29
 
0.5%
2 14
 
0.2%
3 11
 
0.2%
4 3
 
0.1%
ValueCountFrequency (%)
255 4
0.1%
254 1
 
< 0.1%
252 2
< 0.1%
251 2
< 0.1%
250 2
< 0.1%

726
Real number (ℝ)

Zeros 

Distinct185
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.358333333
Minimum0
Maximum255
Zeros5631
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:26.809805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.79501666
Coefficient of variation (CV)5.000526867
Kurtosis33.21059903
Mean6.358333333
Median Absolute Deviation (MAD)0
Skewness5.678781542
Sum38150
Variance1010.923084
MonotonicityNot monotonic
2025-03-21T22:40:27.087651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5631
93.8%
1 14
 
0.2%
2 12
 
0.2%
255 9
 
0.1%
3 7
 
0.1%
4 5
 
0.1%
18 5
 
0.1%
158 5
 
0.1%
5 5
 
0.1%
32 4
 
0.1%
Other values (175) 303
 
5.1%
ValueCountFrequency (%)
0 5631
93.8%
1 14
 
0.2%
2 12
 
0.2%
3 7
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
255 9
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 2
 
< 0.1%
251 1
 
< 0.1%

727
Real number (ℝ)

Zeros 

Distinct86
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.294
Minimum0
Maximum216
Zeros5859
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:27.153951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum216
Range216
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.81203418
Coefficient of variation (CV)9.1283108
Kurtosis138.8609297
Mean1.294
Median Absolute Deviation (MAD)0
Skewness11.17326354
Sum7764
Variance139.5241514
MonotonicityNot monotonic
2025-03-21T22:40:27.220095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5859
97.7%
1 16
 
0.3%
2 12
 
0.2%
3 4
 
0.1%
4 4
 
0.1%
68 3
 
0.1%
65 3
 
0.1%
37 3
 
0.1%
42 2
 
< 0.1%
81 2
 
< 0.1%
Other values (76) 92
 
1.5%
ValueCountFrequency (%)
0 5859
97.7%
1 16
 
0.3%
2 12
 
0.2%
3 4
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
216 1
< 0.1%
195 1
< 0.1%
189 1
< 0.1%
187 1
< 0.1%
185 1
< 0.1%

728
Real number (ℝ)

Skewed  Zeros 

Distinct22
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1793333333
Minimum0
Maximum151
Zeros5940
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:27.274166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum151
Range151
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.734099196
Coefficient of variation (CV)20.82211448
Kurtosis938.3067594
Mean0.1793333333
Median Absolute Deviation (MAD)0
Skewness28.47564723
Sum1076
Variance13.94349681
MonotonicityNot monotonic
2025-03-21T22:40:27.326604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 5940
99.0%
1 27
 
0.4%
2 10
 
0.2%
4 3
 
0.1%
25 2
 
< 0.1%
5 2
 
< 0.1%
20 1
 
< 0.1%
86 1
 
< 0.1%
79 1
 
< 0.1%
42 1
 
< 0.1%
Other values (12) 12
 
0.2%
ValueCountFrequency (%)
0 5940
99.0%
1 27
 
0.4%
2 10
 
0.2%
4 3
 
0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
151 1
< 0.1%
140 1
< 0.1%
86 1
< 0.1%
85 1
< 0.1%
79 1
< 0.1%

729
Real number (ℝ)

Zeros 

Distinct71
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.132666667
Minimum0
Maximum248
Zeros5868
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:27.389186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum248
Range248
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.10340785
Coefficient of variation (CV)10.68576326
Kurtosis222.771534
Mean1.132666667
Median Absolute Deviation (MAD)0
Skewness14.00793238
Sum6796
Variance146.4924816
MonotonicityNot monotonic
2025-03-21T22:40:27.455887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5868
97.8%
1 20
 
0.3%
2 12
 
0.2%
3 7
 
0.1%
4 5
 
0.1%
8 4
 
0.1%
28 3
 
0.1%
62 3
 
0.1%
68 3
 
0.1%
7 2
 
< 0.1%
Other values (61) 73
 
1.2%
ValueCountFrequency (%)
0 5868
97.8%
1 20
 
0.3%
2 12
 
0.2%
3 7
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
248 1
< 0.1%
247 1
< 0.1%
241 1
< 0.1%
230 1
< 0.1%
228 1
< 0.1%

730
Real number (ℝ)

Zeros 

Distinct151
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.278
Minimum0
Maximum255
Zeros5693
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:27.523253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.80761884
Coefficient of variation (CV)5.798882383
Kurtosis47.85758574
Mean4.278
Median Absolute Deviation (MAD)0
Skewness6.704021956
Sum25668
Variance615.4179523
MonotonicityNot monotonic
2025-03-21T22:40:27.592408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5693
94.9%
1 36
 
0.6%
2 15
 
0.2%
3 11
 
0.2%
4 4
 
0.1%
73 4
 
0.1%
5 4
 
0.1%
215 4
 
0.1%
75 3
 
0.1%
53 3
 
0.1%
Other values (141) 223
 
3.7%
ValueCountFrequency (%)
0 5693
94.9%
1 36
 
0.6%
2 15
 
0.2%
3 11
 
0.2%
4 4
 
0.1%
ValueCountFrequency (%)
255 2
< 0.1%
253 1
< 0.1%
252 1
< 0.1%
249 1
< 0.1%
246 1
< 0.1%

731
Real number (ℝ)

Zeros 

Distinct237
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.3645
Minimum0
Maximum255
Zeros5247
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:27.658090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile129.1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.6221712
Coefficient of variation (CV)3.338858259
Kurtosis12.38952572
Mean13.3645
Median Absolute Deviation (MAD)0
Skewness3.59948641
Sum80187
Variance1991.138163
MonotonicityNot monotonic
2025-03-21T22:40:27.727165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5247
87.5%
1 48
 
0.8%
3 18
 
0.3%
2 16
 
0.3%
5 15
 
0.2%
4 11
 
0.2%
255 9
 
0.1%
140 7
 
0.1%
158 6
 
0.1%
146 6
 
0.1%
Other values (227) 617
 
10.3%
ValueCountFrequency (%)
0 5247
87.5%
1 48
 
0.8%
2 16
 
0.3%
3 18
 
0.3%
4 11
 
0.2%
ValueCountFrequency (%)
255 9
0.1%
252 2
 
< 0.1%
251 3
 
0.1%
250 1
 
< 0.1%
249 1
 
< 0.1%

732
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.96
Minimum0
Maximum255
Zeros4389
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:27.793941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile205
Maximum255
Range255
Interquartile range (IQR)2

Descriptive statistics

Standard deviation66.12546279
Coefficient of variation (CV)2.135835362
Kurtosis2.872771902
Mean30.96
Median Absolute Deviation (MAD)0
Skewness2.054053435
Sum185760
Variance4372.576829
MonotonicityNot monotonic
2025-03-21T22:40:27.861012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4389
73.2%
1 78
 
1.3%
2 45
 
0.8%
4 38
 
0.6%
3 36
 
0.6%
255 25
 
0.4%
5 18
 
0.3%
124 15
 
0.2%
163 15
 
0.2%
6 13
 
0.2%
Other values (245) 1328
 
22.1%
ValueCountFrequency (%)
0 4389
73.2%
1 78
 
1.3%
2 45
 
0.8%
3 36
 
0.6%
4 38
 
0.6%
ValueCountFrequency (%)
255 25
0.4%
254 8
 
0.1%
253 4
 
0.1%
252 6
 
0.1%
251 3
 
0.1%

733
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.50816667
Minimum0
Maximum255
Zeros4037
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:27.925487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q349
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)49

Descriptive statistics

Standard deviation80.97674855
Coefficient of variation (CV)1.819368323
Kurtosis0.7118294059
Mean44.50816667
Median Absolute Deviation (MAD)0
Skewness1.532382897
Sum267049
Variance6557.233806
MonotonicityNot monotonic
2025-03-21T22:40:27.993539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4037
67.3%
255 88
 
1.5%
1 87
 
1.5%
2 55
 
0.9%
3 48
 
0.8%
4 43
 
0.7%
5 24
 
0.4%
6 20
 
0.3%
220 20
 
0.3%
219 18
 
0.3%
Other values (243) 1560
 
26.0%
ValueCountFrequency (%)
0 4037
67.3%
1 87
 
1.5%
2 55
 
0.9%
3 48
 
0.8%
4 43
 
0.7%
ValueCountFrequency (%)
255 88
1.5%
254 18
 
0.3%
253 7
 
0.1%
252 10
 
0.2%
251 9
 
0.1%

734
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.0615
Minimum0
Maximum255
Zeros3877
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:28.059631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376.25
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation81.68360557
Coefficient of variation (CV)1.699564216
Kurtosis0.3313390855
Mean48.0615
Median Absolute Deviation (MAD)0
Skewness1.395148433
Sum288369
Variance6672.21142
MonotonicityNot monotonic
2025-03-21T22:40:28.126639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3877
64.6%
255 90
 
1.5%
2 54
 
0.9%
1 50
 
0.8%
4 30
 
0.5%
3 30
 
0.5%
6 27
 
0.4%
5 20
 
0.3%
202 16
 
0.3%
207 16
 
0.3%
Other values (244) 1790
29.8%
ValueCountFrequency (%)
0 3877
64.6%
1 50
 
0.8%
2 54
 
0.9%
3 30
 
0.5%
4 30
 
0.5%
ValueCountFrequency (%)
255 90
1.5%
254 12
 
0.2%
253 12
 
0.2%
252 12
 
0.2%
251 7
 
0.1%

735
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.95683333
Minimum0
Maximum255
Zeros3867
Zeros (%)64.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:28.190485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q362
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)62

Descriptive statistics

Standard deviation78.06211364
Coefficient of variation (CV)1.736379274
Kurtosis0.8062618065
Mean44.95683333
Median Absolute Deviation (MAD)0
Skewness1.525397525
Sum269741
Variance6093.693586
MonotonicityNot monotonic
2025-03-21T22:40:28.257328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3867
64.5%
255 92
 
1.5%
3 39
 
0.7%
2 33
 
0.5%
4 29
 
0.5%
1 29
 
0.5%
222 17
 
0.3%
5 17
 
0.3%
20 16
 
0.3%
6 16
 
0.3%
Other values (246) 1845
30.8%
ValueCountFrequency (%)
0 3867
64.5%
1 29
 
0.5%
2 33
 
0.5%
3 39
 
0.7%
4 29
 
0.5%
ValueCountFrequency (%)
255 92
1.5%
254 10
 
0.2%
253 8
 
0.1%
252 5
 
0.1%
251 5
 
0.1%

736
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.53033333
Minimum0
Maximum255
Zeros3467
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:28.323058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3126
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation87.88591697
Coefficient of variation (CV)1.4763216
Kurtosis-0.4652222616
Mean59.53033333
Median Absolute Deviation (MAD)0
Skewness1.084311876
Sum357182
Variance7723.934402
MonotonicityNot monotonic
2025-03-21T22:40:28.391878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3467
57.8%
255 127
 
2.1%
2 52
 
0.9%
1 50
 
0.8%
4 37
 
0.6%
3 37
 
0.6%
5 24
 
0.4%
231 22
 
0.4%
242 19
 
0.3%
235 18
 
0.3%
Other values (246) 2147
35.8%
ValueCountFrequency (%)
0 3467
57.8%
1 50
 
0.8%
2 52
 
0.9%
3 37
 
0.6%
4 37
 
0.6%
ValueCountFrequency (%)
255 127
2.1%
254 14
 
0.2%
253 13
 
0.2%
252 8
 
0.1%
251 8
 
0.1%

737
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.52566667
Minimum0
Maximum255
Zeros2910
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:28.670466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3172
95-th percentile246
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation94.95584646
Coefficient of variation (CV)1.240836579
Kurtosis-1.19719032
Mean76.52566667
Median Absolute Deviation (MAD)2
Skewness0.7016065293
Sum459154
Variance9016.612777
MonotonicityNot monotonic
2025-03-21T22:40:28.741122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2910
48.5%
255 173
 
2.9%
1 77
 
1.3%
2 74
 
1.2%
3 61
 
1.0%
4 32
 
0.5%
234 31
 
0.5%
235 26
 
0.4%
221 25
 
0.4%
216 24
 
0.4%
Other values (246) 2567
42.8%
ValueCountFrequency (%)
0 2910
48.5%
1 77
 
1.3%
2 74
 
1.2%
3 61
 
1.0%
4 32
 
0.5%
ValueCountFrequency (%)
255 173
2.9%
254 24
 
0.4%
253 13
 
0.2%
252 14
 
0.2%
251 14
 
0.2%

738
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.98416667
Minimum0
Maximum255
Zeros2660
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:28.809459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40.5
Q3192
95-th percentile250
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation98.34889086
Coefficient of variation (CV)1.092957734
Kurtosis-1.507147457
Mean89.98416667
Median Absolute Deviation (MAD)40.5
Skewness0.4391779969
Sum539905
Variance9672.504333
MonotonicityNot monotonic
2025-03-21T22:40:28.878909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2660
44.3%
255 193
 
3.2%
1 46
 
0.8%
2 36
 
0.6%
215 32
 
0.5%
237 32
 
0.5%
232 31
 
0.5%
221 29
 
0.5%
222 29
 
0.5%
234 29
 
0.5%
Other values (245) 2883
48.0%
ValueCountFrequency (%)
0 2660
44.3%
1 46
 
0.8%
2 36
 
0.6%
3 24
 
0.4%
4 22
 
0.4%
ValueCountFrequency (%)
255 193
3.2%
254 25
 
0.4%
253 26
 
0.4%
252 19
 
0.3%
251 23
 
0.4%

739
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.00016667
Minimum0
Maximum255
Zeros2532
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:28.945567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71
Q3206
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation101.3858752
Coefficient of variation (CV)1.024098025
Kurtosis-1.629519295
Mean99.00016667
Median Absolute Deviation (MAD)71
Skewness0.2943918779
Sum594001
Variance10279.09568
MonotonicityNot monotonic
2025-03-21T22:40:29.014219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2532
42.2%
255 266
 
4.4%
242 38
 
0.6%
254 37
 
0.6%
247 37
 
0.6%
1 37
 
0.6%
235 35
 
0.6%
239 34
 
0.6%
222 34
 
0.6%
243 33
 
0.5%
Other values (246) 2917
48.6%
ValueCountFrequency (%)
0 2532
42.2%
1 37
 
0.6%
2 24
 
0.4%
3 28
 
0.5%
4 15
 
0.2%
ValueCountFrequency (%)
255 266
4.4%
254 37
 
0.6%
253 33
 
0.5%
252 25
 
0.4%
251 22
 
0.4%

740
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.72383333
Minimum0
Maximum255
Zeros2544
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:29.081168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median66
Q3209
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)209

Descriptive statistics

Standard deviation102.1965048
Coefficient of variation (CV)1.035175614
Kurtosis-1.627726786
Mean98.72383333
Median Absolute Deviation (MAD)66
Skewness0.3152982025
Sum592343
Variance10444.12559
MonotonicityNot monotonic
2025-03-21T22:40:29.146025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2544
42.4%
255 301
 
5.0%
254 43
 
0.7%
237 43
 
0.7%
253 35
 
0.6%
222 34
 
0.6%
246 34
 
0.6%
239 34
 
0.6%
250 33
 
0.5%
221 32
 
0.5%
Other values (245) 2867
47.8%
ValueCountFrequency (%)
0 2544
42.4%
1 31
 
0.5%
2 28
 
0.5%
3 26
 
0.4%
4 24
 
0.4%
ValueCountFrequency (%)
255 301
5.0%
254 43
 
0.7%
253 35
 
0.6%
252 31
 
0.5%
251 26
 
0.4%

741
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.2535
Minimum0
Maximum255
Zeros2757
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:29.214961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median26.5
Q3196
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation100.1591012
Coefficient of variation (CV)1.122186818
Kurtosis-1.470426017
Mean89.2535
Median Absolute Deviation (MAD)26.5
Skewness0.4887039131
Sum535521
Variance10031.84555
MonotonicityNot monotonic
2025-03-21T22:40:29.285991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2757
46.0%
255 305
 
5.1%
1 44
 
0.7%
229 40
 
0.7%
234 30
 
0.5%
209 29
 
0.5%
232 28
 
0.5%
237 27
 
0.4%
245 27
 
0.4%
213 27
 
0.4%
Other values (246) 2686
44.8%
ValueCountFrequency (%)
0 2757
46.0%
1 44
 
0.7%
2 27
 
0.4%
3 27
 
0.4%
4 25
 
0.4%
ValueCountFrequency (%)
255 305
5.1%
254 21
 
0.4%
253 26
 
0.4%
252 26
 
0.4%
251 24
 
0.4%

742
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.2925
Minimum0
Maximum255
Zeros3003
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:29.354339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3182
95-th percentile253
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation98.268147
Coefficient of variation (CV)1.223877037
Kurtosis-1.277734526
Mean80.2925
Median Absolute Deviation (MAD)0
Skewness0.6581745744
Sum481755
Variance9656.628715
MonotonicityNot monotonic
2025-03-21T22:40:29.422054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3003
50.0%
255 268
 
4.5%
2 49
 
0.8%
1 40
 
0.7%
3 34
 
0.6%
254 29
 
0.5%
234 28
 
0.5%
220 28
 
0.5%
219 26
 
0.4%
245 25
 
0.4%
Other values (245) 2470
41.2%
ValueCountFrequency (%)
0 3003
50.0%
1 40
 
0.7%
2 49
 
0.8%
3 34
 
0.6%
4 19
 
0.3%
ValueCountFrequency (%)
255 268
4.5%
254 29
 
0.5%
253 17
 
0.3%
252 23
 
0.4%
251 16
 
0.3%

743
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.55966667
Minimum0
Maximum255
Zeros2810
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:29.488932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q3192
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation99.58581557
Coefficient of variation (CV)1.150487512
Kurtosis-1.411692474
Mean86.55966667
Median Absolute Deviation (MAD)14
Skewness0.5438042429
Sum519358
Variance9917.334662
MonotonicityNot monotonic
2025-03-21T22:40:29.557530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2810
46.8%
255 294
 
4.9%
238 38
 
0.6%
2 34
 
0.6%
1 34
 
0.6%
3 33
 
0.5%
241 32
 
0.5%
254 32
 
0.5%
233 31
 
0.5%
243 29
 
0.5%
Other values (246) 2633
43.9%
ValueCountFrequency (%)
0 2810
46.8%
1 34
 
0.6%
2 34
 
0.6%
3 33
 
0.5%
4 25
 
0.4%
ValueCountFrequency (%)
255 294
4.9%
254 32
 
0.5%
253 21
 
0.4%
252 21
 
0.4%
251 14
 
0.2%

744
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.01016667
Minimum0
Maximum255
Zeros2688
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:29.624332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median48
Q3204
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation101.4340272
Coefficient of variation (CV)1.078968699
Kurtosis-1.575670057
Mean94.01016667
Median Absolute Deviation (MAD)48
Skewness0.3914578811
Sum564061
Variance10288.86187
MonotonicityNot monotonic
2025-03-21T22:40:29.689744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2688
44.8%
255 259
 
4.3%
254 54
 
0.9%
2 38
 
0.6%
238 35
 
0.6%
239 33
 
0.5%
217 32
 
0.5%
233 32
 
0.5%
1 31
 
0.5%
240 30
 
0.5%
Other values (246) 2768
46.1%
ValueCountFrequency (%)
0 2688
44.8%
1 31
 
0.5%
2 38
 
0.6%
3 28
 
0.5%
4 18
 
0.3%
ValueCountFrequency (%)
255 259
4.3%
254 54
 
0.9%
253 26
 
0.4%
252 21
 
0.4%
251 23
 
0.4%

745
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.816
Minimum0
Maximum255
Zeros2666
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:29.757009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q3198
95-th percentile253
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation100.3281321
Coefficient of variation (CV)1.092708593
Kurtosis-1.544168223
Mean91.816
Median Absolute Deviation (MAD)40
Skewness0.4208956936
Sum550896
Variance10065.7341
MonotonicityNot monotonic
2025-03-21T22:40:29.824935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2666
44.4%
255 238
 
4.0%
1 56
 
0.9%
2 42
 
0.7%
254 41
 
0.7%
219 33
 
0.5%
243 31
 
0.5%
233 30
 
0.5%
218 29
 
0.5%
224 29
 
0.5%
Other values (244) 2805
46.8%
ValueCountFrequency (%)
0 2666
44.4%
1 56
 
0.9%
2 42
 
0.7%
3 28
 
0.5%
4 28
 
0.5%
ValueCountFrequency (%)
255 238
4.0%
254 41
 
0.7%
253 29
 
0.5%
252 24
 
0.4%
251 21
 
0.4%

746
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.64133333
Minimum0
Maximum255
Zeros2811
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:29.893757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3179
95-th percentile247
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation95.75767479
Coefficient of variation (CV)1.187451532
Kurtosis-1.309433042
Mean80.64133333
Median Absolute Deviation (MAD)4
Skewness0.6153366477
Sum483848
Variance9169.53228
MonotonicityNot monotonic
2025-03-21T22:40:30.171347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2811
46.9%
255 170
 
2.8%
1 61
 
1.0%
3 55
 
0.9%
2 55
 
0.9%
4 33
 
0.5%
227 32
 
0.5%
216 28
 
0.5%
254 27
 
0.4%
240 27
 
0.4%
Other values (246) 2701
45.0%
ValueCountFrequency (%)
0 2811
46.9%
1 61
 
1.0%
2 55
 
0.9%
3 55
 
0.9%
4 33
 
0.5%
ValueCountFrequency (%)
255 170
2.8%
254 27
 
0.4%
253 12
 
0.2%
252 14
 
0.2%
251 20
 
0.3%

747
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.52183333
Minimum0
Maximum255
Zeros3245
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:30.238003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3137
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation89.22034653
Coefficient of variation (CV)1.404561894
Kurtosis-0.6564889683
Mean63.52183333
Median Absolute Deviation (MAD)0
Skewness0.9913942583
Sum381131
Variance7960.270235
MonotonicityNot monotonic
2025-03-21T22:40:30.308243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3245
54.1%
255 134
 
2.2%
1 78
 
1.3%
2 61
 
1.0%
3 45
 
0.8%
4 34
 
0.6%
227 23
 
0.4%
224 21
 
0.4%
5 21
 
0.4%
174 21
 
0.4%
Other values (246) 2317
38.6%
ValueCountFrequency (%)
0 3245
54.1%
1 78
 
1.3%
2 61
 
1.0%
3 45
 
0.8%
4 34
 
0.6%
ValueCountFrequency (%)
255 134
2.2%
254 18
 
0.3%
253 13
 
0.2%
252 17
 
0.3%
251 15
 
0.2%

748
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.4835
Minimum0
Maximum255
Zeros3804
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:30.381617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)70

Descriptive statistics

Standard deviation79.07355752
Coefficient of variation (CV)1.701110233
Kurtosis0.6205629797
Mean46.4835
Median Absolute Deviation (MAD)0
Skewness1.466942324
Sum278901
Variance6252.627499
MonotonicityNot monotonic
2025-03-21T22:40:30.447906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3804
63.4%
255 83
 
1.4%
1 54
 
0.9%
2 44
 
0.7%
3 33
 
0.5%
4 29
 
0.5%
6 22
 
0.4%
189 17
 
0.3%
193 17
 
0.3%
5 16
 
0.3%
Other values (246) 1881
31.4%
ValueCountFrequency (%)
0 3804
63.4%
1 54
 
0.9%
2 44
 
0.7%
3 33
 
0.5%
4 29
 
0.5%
ValueCountFrequency (%)
255 83
1.4%
254 12
 
0.2%
253 7
 
0.1%
252 4
 
0.1%
251 6
 
0.1%

749
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.4655
Minimum0
Maximum255
Zeros3891
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:30.515358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q361
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)61

Descriptive statistics

Standard deviation77.85084629
Coefficient of variation (CV)1.750814593
Kurtosis0.8152418251
Mean44.4655
Median Absolute Deviation (MAD)0
Skewness1.529839201
Sum266793
Variance6060.754269
MonotonicityNot monotonic
2025-03-21T22:40:30.582576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3891
64.8%
255 73
 
1.2%
1 52
 
0.9%
2 40
 
0.7%
4 31
 
0.5%
3 28
 
0.5%
6 25
 
0.4%
5 17
 
0.3%
29 14
 
0.2%
7 14
 
0.2%
Other values (246) 1815
30.2%
ValueCountFrequency (%)
0 3891
64.8%
1 52
 
0.9%
2 40
 
0.7%
3 28
 
0.5%
4 31
 
0.5%
ValueCountFrequency (%)
255 73
1.2%
254 12
 
0.2%
253 11
 
0.2%
252 9
 
0.1%
251 2
 
< 0.1%

750
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.58916667
Minimum0
Maximum255
Zeros3972
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:30.648852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q367
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)67

Descriptive statistics

Standard deviation83.14276779
Coefficient of variation (CV)1.747094425
Kurtosis0.4070677461
Mean47.58916667
Median Absolute Deviation (MAD)0
Skewness1.43378228
Sum285535
Variance6912.719836
MonotonicityNot monotonic
2025-03-21T22:40:30.716469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3972
66.2%
255 105
 
1.8%
1 71
 
1.2%
2 51
 
0.9%
3 41
 
0.7%
4 30
 
0.5%
254 23
 
0.4%
6 18
 
0.3%
239 17
 
0.3%
227 16
 
0.3%
Other values (246) 1656
27.6%
ValueCountFrequency (%)
0 3972
66.2%
1 71
 
1.2%
2 51
 
0.9%
3 41
 
0.7%
4 30
 
0.5%
ValueCountFrequency (%)
255 105
1.8%
254 23
 
0.4%
253 9
 
0.1%
252 12
 
0.2%
251 8
 
0.1%

751
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.02433333
Minimum0
Maximum255
Zeros4125
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:30.783601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)22

Descriptive statistics

Standard deviation74.96909009
Coefficient of variation (CV)1.921085735
Kurtosis1.405294443
Mean39.02433333
Median Absolute Deviation (MAD)0
Skewness1.712137595
Sum234146
Variance5620.364469
MonotonicityNot monotonic
2025-03-21T22:40:30.850885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4125
68.8%
1 106
 
1.8%
2 67
 
1.1%
255 59
 
1.0%
3 53
 
0.9%
4 39
 
0.7%
5 20
 
0.3%
6 18
 
0.3%
254 16
 
0.3%
7 15
 
0.2%
Other values (244) 1482
 
24.7%
ValueCountFrequency (%)
0 4125
68.8%
1 106
 
1.8%
2 67
 
1.1%
3 53
 
0.9%
4 39
 
0.7%
ValueCountFrequency (%)
255 59
1.0%
254 16
 
0.3%
253 4
 
0.1%
252 4
 
0.1%
251 4
 
0.1%

752
Real number (ℝ)

Zeros 

Distinct252
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.0155
Minimum0
Maximum255
Zeros4797
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:30.916089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.62757408
Coefficient of variation (CV)2.526745887
Kurtosis5.611590632
Mean22.0155
Median Absolute Deviation (MAD)0
Skewness2.584453899
Sum132093
Variance3094.426998
MonotonicityNot monotonic
2025-03-21T22:40:30.985319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4797
80.0%
1 59
 
1.0%
2 29
 
0.5%
3 24
 
0.4%
4 23
 
0.4%
5 19
 
0.3%
255 16
 
0.3%
72 14
 
0.2%
140 12
 
0.2%
50 11
 
0.2%
Other values (242) 996
 
16.6%
ValueCountFrequency (%)
0 4797
80.0%
1 59
 
1.0%
2 29
 
0.5%
3 24
 
0.4%
4 23
 
0.4%
ValueCountFrequency (%)
255 16
0.3%
254 1
 
< 0.1%
253 2
 
< 0.1%
252 3
 
0.1%
251 4
 
0.1%

753
Real number (ℝ)

Zeros 

Distinct211
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.815333333
Minimum0
Maximum255
Zeros5505
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:31.053366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile71
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.24583342
Coefficient of variation (CV)4.22511912
Kurtosis21.94295583
Mean8.815333333
Median Absolute Deviation (MAD)0
Skewness4.678651335
Sum52892
Variance1387.252107
MonotonicityNot monotonic
2025-03-21T22:40:31.122130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5505
91.8%
1 35
 
0.6%
2 15
 
0.2%
3 10
 
0.2%
255 9
 
0.1%
61 6
 
0.1%
4 6
 
0.1%
124 5
 
0.1%
143 5
 
0.1%
35 5
 
0.1%
Other values (201) 399
 
6.7%
ValueCountFrequency (%)
0 5505
91.8%
1 35
 
0.6%
2 15
 
0.2%
3 10
 
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
255 9
0.1%
254 2
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%
247 1
 
< 0.1%

754
Real number (ℝ)

Zeros 

Distinct130
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.397333333
Minimum0
Maximum255
Zeros5756
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:31.187997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.71688364
Coefficient of variation (CV)6.686680821
Kurtosis70.35837774
Mean3.397333333
Median Absolute Deviation (MAD)0
Skewness8.065785176
Sum20384
Variance516.0568024
MonotonicityNot monotonic
2025-03-21T22:40:31.256996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5756
95.9%
1 17
 
0.3%
2 11
 
0.2%
255 10
 
0.2%
3 7
 
0.1%
6 6
 
0.1%
5 5
 
0.1%
7 4
 
0.1%
24 4
 
0.1%
4 4
 
0.1%
Other values (120) 176
 
2.9%
ValueCountFrequency (%)
0 5756
95.9%
1 17
 
0.3%
2 11
 
0.2%
3 7
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
255 10
0.2%
254 1
 
< 0.1%
252 2
 
< 0.1%
248 1
 
< 0.1%
239 1
 
< 0.1%

755
Real number (ℝ)

Zeros 

Distinct45
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5721666667
Minimum0
Maximum219
Zeros5924
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:31.319384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum219
Range219
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.877338852
Coefficient of variation (CV)13.76755989
Kurtosis330.6565265
Mean0.5721666667
Median Absolute Deviation (MAD)0
Skewness17.23636957
Sum3433
Variance62.05246738
MonotonicityNot monotonic
2025-03-21T22:40:31.379485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 5924
98.7%
1 11
 
0.2%
2 8
 
0.1%
4 4
 
0.1%
70 3
 
0.1%
9 3
 
0.1%
3 3
 
0.1%
136 2
 
< 0.1%
11 2
 
< 0.1%
19 2
 
< 0.1%
Other values (35) 38
 
0.6%
ValueCountFrequency (%)
0 5924
98.7%
1 11
 
0.2%
2 8
 
0.1%
3 3
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
219 1
< 0.1%
165 1
< 0.1%
159 1
< 0.1%
157 1
< 0.1%
150 1
< 0.1%

756
Real number (ℝ)

Skewed  Zeros 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004666666667
Minimum0
Maximum5
Zeros5984
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:31.425869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1063646611
Coefficient of variation (CV)22.79242738
Kurtosis1112.808399
Mean0.004666666667
Median Absolute Deviation (MAD)0
Skewness30.35397382
Sum28
Variance0.01131344113
MonotonicityNot monotonic
2025-03-21T22:40:31.464247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 5984
99.7%
1 9
 
0.1%
2 4
 
0.1%
3 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 5984
99.7%
1 9
 
0.1%
2 4
 
0.1%
3 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
3 2
 
< 0.1%
2 4
 
0.1%
1 9
 
0.1%
0 5984
99.7%

757
Real number (ℝ)

Skewed  Zeros 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1461666667
Minimum0
Maximum144
Zeros5938
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:31.680500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum144
Range144
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.908300479
Coefficient of variation (CV)19.89715265
Kurtosis1306.99957
Mean0.1461666667
Median Absolute Deviation (MAD)0
Skewness32.55085027
Sum877
Variance8.458211674
MonotonicityNot monotonic
2025-03-21T22:40:31.731157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 5938
99.0%
1 20
 
0.3%
2 7
 
0.1%
3 5
 
0.1%
4 4
 
0.1%
7 3
 
0.1%
42 2
 
< 0.1%
6 2
 
< 0.1%
10 2
 
< 0.1%
15 2
 
< 0.1%
Other values (15) 15
 
0.2%
ValueCountFrequency (%)
0 5938
99.0%
1 20
 
0.3%
2 7
 
0.1%
3 5
 
0.1%
4 4
 
0.1%
ValueCountFrequency (%)
144 1
< 0.1%
94 1
< 0.1%
76 1
< 0.1%
51 1
< 0.1%
46 1
< 0.1%

758
Real number (ℝ)

Zeros 

Distinct77
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9328333333
Minimum0
Maximum202
Zeros5847
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:31.792785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum202
Range202
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.223583959
Coefficient of variation (CV)9.887708372
Kurtosis214.2566194
Mean0.9328333333
Median Absolute Deviation (MAD)0
Skewness13.55473869
Sum5597
Variance85.07450106
MonotonicityNot monotonic
2025-03-21T22:40:31.860634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5847
97.5%
1 26
 
0.4%
2 16
 
0.3%
3 6
 
0.1%
4 5
 
0.1%
17 3
 
0.1%
65 3
 
0.1%
19 3
 
0.1%
5 3
 
0.1%
13 2
 
< 0.1%
Other values (67) 86
 
1.4%
ValueCountFrequency (%)
0 5847
97.5%
1 26
 
0.4%
2 16
 
0.3%
3 6
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
202 1
< 0.1%
191 1
< 0.1%
187 1
< 0.1%
171 1
< 0.1%
163 1
< 0.1%

759
Real number (ℝ)

Zeros 

Distinct151
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.296666667
Minimum0
Maximum219
Zeros5535
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:31.926489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22.05
Maximum219
Range219
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.84948694
Coefficient of variation (CV)4.852479505
Kurtosis40.24700739
Mean4.296666667
Median Absolute Deviation (MAD)0
Skewness6.045300303
Sum25780
Variance434.7011057
MonotonicityNot monotonic
2025-03-21T22:40:31.991865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5535
92.2%
1 50
 
0.8%
2 19
 
0.3%
3 12
 
0.2%
29 10
 
0.2%
4 8
 
0.1%
5 8
 
0.1%
7 7
 
0.1%
12 7
 
0.1%
56 7
 
0.1%
Other values (141) 337
 
5.6%
ValueCountFrequency (%)
0 5535
92.2%
1 50
 
0.8%
2 19
 
0.3%
3 12
 
0.2%
4 8
 
0.1%
ValueCountFrequency (%)
219 1
< 0.1%
208 1
< 0.1%
206 1
< 0.1%
196 1
< 0.1%
193 1
< 0.1%

760
Real number (ℝ)

Zeros 

Distinct218
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.39133333
Minimum0
Maximum235
Zeros4906
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.055106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum235
Range235
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.63926306
Coefficient of variation (CV)2.956845892
Kurtosis11.99439169
Mean12.39133333
Median Absolute Deviation (MAD)0
Skewness3.449394949
Sum74348
Variance1342.435597
MonotonicityNot monotonic
2025-03-21T22:40:32.119710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4906
81.8%
1 90
 
1.5%
2 45
 
0.8%
3 28
 
0.5%
4 22
 
0.4%
12 13
 
0.2%
44 13
 
0.2%
28 12
 
0.2%
5 12
 
0.2%
66 12
 
0.2%
Other values (208) 847
 
14.1%
ValueCountFrequency (%)
0 4906
81.8%
1 90
 
1.5%
2 45
 
0.8%
3 28
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
235 1
< 0.1%
234 1
< 0.1%
230 1
< 0.1%
229 1
< 0.1%
228 1
< 0.1%

761
Real number (ℝ)

Zeros 

Distinct227
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.61866667
Minimum0
Maximum250
Zeros4569
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.181731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile149.05
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.6121018
Coefficient of variation (CV)2.357674363
Kurtosis4.771829192
Mean20.61866667
Median Absolute Deviation (MAD)0
Skewness2.411320129
Sum123712
Variance2363.136441
MonotonicityNot monotonic
2025-03-21T22:40:32.249421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4569
76.1%
1 118
 
2.0%
2 53
 
0.9%
3 35
 
0.6%
4 21
 
0.4%
113 14
 
0.2%
5 14
 
0.2%
41 12
 
0.2%
74 12
 
0.2%
69 11
 
0.2%
Other values (217) 1141
 
19.0%
ValueCountFrequency (%)
0 4569
76.1%
1 118
 
2.0%
2 53
 
0.9%
3 35
 
0.6%
4 21
 
0.4%
ValueCountFrequency (%)
250 1
< 0.1%
248 1
< 0.1%
238 1
< 0.1%
233 1
< 0.1%
231 1
< 0.1%

762
Real number (ℝ)

Zeros 

Distinct231
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.59666667
Minimum0
Maximum250
Zeros4521
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.316976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile142
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.52057824
Coefficient of variation (CV)2.307197519
Kurtosis5.06308998
Mean20.59666667
Median Absolute Deviation (MAD)0
Skewness2.434622283
Sum123580
Variance2258.205356
MonotonicityNot monotonic
2025-03-21T22:40:32.383837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4521
75.3%
1 82
 
1.4%
2 51
 
0.9%
5 18
 
0.3%
46 18
 
0.3%
30 17
 
0.3%
3 16
 
0.3%
4 15
 
0.2%
26 14
 
0.2%
91 13
 
0.2%
Other values (221) 1235
 
20.6%
ValueCountFrequency (%)
0 4521
75.3%
1 82
 
1.4%
2 51
 
0.9%
3 16
 
0.3%
4 15
 
0.2%
ValueCountFrequency (%)
250 1
< 0.1%
249 1
< 0.1%
248 2
< 0.1%
239 1
< 0.1%
238 1
< 0.1%

763
Real number (ℝ)

Zeros 

Distinct219
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.90983333
Minimum0
Maximum254
Zeros4636
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.448072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile124
Maximum254
Range254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.02668292
Coefficient of variation (CV)2.485339866
Kurtosis7.409539927
Mean16.90983333
Median Absolute Deviation (MAD)0
Skewness2.796168907
Sum101459
Variance1766.242077
MonotonicityNot monotonic
2025-03-21T22:40:32.514312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4636
77.3%
1 64
 
1.1%
2 31
 
0.5%
17 21
 
0.4%
3 19
 
0.3%
47 16
 
0.3%
4 14
 
0.2%
5 14
 
0.2%
7 14
 
0.2%
25 14
 
0.2%
Other values (209) 1157
 
19.3%
ValueCountFrequency (%)
0 4636
77.3%
1 64
 
1.1%
2 31
 
0.5%
3 19
 
0.3%
4 14
 
0.2%
ValueCountFrequency (%)
254 1
< 0.1%
251 1
< 0.1%
243 1
< 0.1%
239 1
< 0.1%
238 1
< 0.1%

764
Real number (ℝ)

Zeros 

Distinct231
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.26883333
Minimum0
Maximum242
Zeros4319
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.581426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile143
Maximum242
Range242
Interquartile range (IQR)3

Descriptive statistics

Standard deviation48.50621305
Coefficient of variation (CV)2.17821079
Kurtosis4.393772716
Mean22.26883333
Median Absolute Deviation (MAD)0
Skewness2.292658007
Sum133613
Variance2352.852704
MonotonicityNot monotonic
2025-03-21T22:40:32.646494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4319
72.0%
1 99
 
1.7%
2 74
 
1.2%
3 32
 
0.5%
4 21
 
0.4%
8 16
 
0.3%
13 15
 
0.2%
10 15
 
0.2%
46 15
 
0.2%
85 15
 
0.2%
Other values (221) 1379
 
23.0%
ValueCountFrequency (%)
0 4319
72.0%
1 99
 
1.7%
2 74
 
1.2%
3 32
 
0.5%
4 21
 
0.4%
ValueCountFrequency (%)
242 1
< 0.1%
240 2
< 0.1%
237 1
< 0.1%
236 1
< 0.1%
232 2
< 0.1%

765
Real number (ℝ)

Zeros 

Distinct236
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.95966667
Minimum0
Maximum248
Zeros3712
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.718963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q345
95-th percentile164
Maximum248
Range248
Interquartile range (IQR)45

Descriptive statistics

Standard deviation55.44573995
Coefficient of variation (CV)1.790902355
Kurtosis1.996925967
Mean30.95966667
Median Absolute Deviation (MAD)0
Skewness1.759444733
Sum185758
Variance3074.230078
MonotonicityNot monotonic
2025-03-21T22:40:32.784984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3712
61.9%
1 165
 
2.8%
2 84
 
1.4%
3 70
 
1.2%
4 36
 
0.6%
47 25
 
0.4%
22 21
 
0.4%
67 18
 
0.3%
62 18
 
0.3%
12 17
 
0.3%
Other values (226) 1834
30.6%
ValueCountFrequency (%)
0 3712
61.9%
1 165
 
2.8%
2 84
 
1.4%
3 70
 
1.2%
4 36
 
0.6%
ValueCountFrequency (%)
248 1
< 0.1%
243 1
< 0.1%
238 1
< 0.1%
237 1
< 0.1%
235 1
< 0.1%

766
Real number (ℝ)

Zeros 

Distinct236
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.84633333
Minimum0
Maximum251
Zeros3329
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.852229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q381
95-th percentile177
Maximum251
Range251
Interquartile range (IQR)81

Descriptive statistics

Standard deviation62.01647142
Coefficient of variation (CV)1.482004909
Kurtosis0.3724261204
Mean41.84633333
Median Absolute Deviation (MAD)0
Skewness1.279240706
Sum251078
Variance3846.042727
MonotonicityNot monotonic
2025-03-21T22:40:32.921874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3329
55.5%
1 89
 
1.5%
2 66
 
1.1%
3 37
 
0.6%
4 26
 
0.4%
59 24
 
0.4%
120 23
 
0.4%
57 23
 
0.4%
88 21
 
0.4%
109 21
 
0.4%
Other values (226) 2341
39.0%
ValueCountFrequency (%)
0 3329
55.5%
1 89
 
1.5%
2 66
 
1.1%
3 37
 
0.6%
4 26
 
0.4%
ValueCountFrequency (%)
251 1
 
< 0.1%
242 1
 
< 0.1%
239 1
 
< 0.1%
236 3
0.1%
235 1
 
< 0.1%

767
Real number (ℝ)

Zeros 

Distinct245
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.21833333
Minimum0
Maximum255
Zeros3080
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:32.991637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3106
95-th percentile190
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation68.4472583
Coefficient of variation (CV)1.310789792
Kurtosis-0.4540095973
Mean52.21833333
Median Absolute Deviation (MAD)0
Skewness0.9620793423
Sum313310
Variance4685.027168
MonotonicityNot monotonic
2025-03-21T22:40:33.255111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3080
51.3%
1 62
 
1.0%
2 54
 
0.9%
3 39
 
0.7%
125 25
 
0.4%
108 24
 
0.4%
137 23
 
0.4%
104 23
 
0.4%
128 23
 
0.4%
106 22
 
0.4%
Other values (235) 2625
43.8%
ValueCountFrequency (%)
0 3080
51.3%
1 62
 
1.0%
2 54
 
0.9%
3 39
 
0.7%
4 19
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
246 1
< 0.1%
245 1
< 0.1%
243 1
< 0.1%
241 2
< 0.1%

768
Real number (ℝ)

Zeros 

Distinct247
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.16583333
Minimum0
Maximum255
Zeros3075
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:33.322441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3111
95-th percentile195
Maximum255
Range255
Interquartile range (IQR)111

Descriptive statistics

Standard deviation70.43601024
Coefficient of variation (CV)1.300377118
Kurtosis-0.5321565139
Mean54.16583333
Median Absolute Deviation (MAD)0
Skewness0.931694653
Sum324995
Variance4961.231538
MonotonicityNot monotonic
2025-03-21T22:40:33.388169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3075
51.2%
2 54
 
0.9%
1 53
 
0.9%
3 39
 
0.7%
135 27
 
0.4%
108 26
 
0.4%
114 24
 
0.4%
110 24
 
0.4%
100 23
 
0.4%
111 23
 
0.4%
Other values (237) 2632
43.9%
ValueCountFrequency (%)
0 3075
51.2%
1 53
 
0.9%
2 54
 
0.9%
3 39
 
0.7%
4 20
 
0.3%
ValueCountFrequency (%)
255 2
< 0.1%
248 1
< 0.1%
247 1
< 0.1%
243 2
< 0.1%
242 2
< 0.1%

769
Real number (ℝ)

Zeros 

Distinct246
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.0055
Minimum0
Maximum255
Zeros3295
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:33.453715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q399
95-th percentile190.05
Maximum255
Range255
Interquartile range (IQR)99

Descriptive statistics

Standard deviation67.98538425
Coefficient of variation (CV)1.416199899
Kurtosis-0.1208993908
Mean48.0055
Median Absolute Deviation (MAD)0
Skewness1.119006559
Sum288033
Variance4622.012472
MonotonicityNot monotonic
2025-03-21T22:40:33.521030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3295
54.9%
1 83
 
1.4%
2 53
 
0.9%
3 41
 
0.7%
121 23
 
0.4%
144 23
 
0.4%
122 21
 
0.4%
80 21
 
0.4%
130 21
 
0.4%
131 21
 
0.4%
Other values (236) 2398
40.0%
ValueCountFrequency (%)
0 3295
54.9%
1 83
 
1.4%
2 53
 
0.9%
3 41
 
0.7%
4 14
 
0.2%
ValueCountFrequency (%)
255 1
 
< 0.1%
251 1
 
< 0.1%
247 1
 
< 0.1%
243 3
0.1%
241 1
 
< 0.1%

770
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.411
Minimum0
Maximum255
Zeros3551
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:33.585884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q386
95-th percentile187
Maximum255
Range255
Interquartile range (IQR)86

Descriptive statistics

Standard deviation66.69575049
Coefficient of variation (CV)1.53637904
Kurtosis0.2652853213
Mean43.411
Median Absolute Deviation (MAD)0
Skewness1.279163283
Sum260466
Variance4448.323133
MonotonicityNot monotonic
2025-03-21T22:40:33.653503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3551
59.2%
1 92
 
1.5%
2 59
 
1.0%
3 41
 
0.7%
4 23
 
0.4%
108 21
 
0.4%
54 20
 
0.3%
124 19
 
0.3%
95 19
 
0.3%
148 19
 
0.3%
Other values (239) 2136
35.6%
ValueCountFrequency (%)
0 3551
59.2%
1 92
 
1.5%
2 59
 
1.0%
3 41
 
0.7%
4 23
 
0.4%
ValueCountFrequency (%)
255 2
< 0.1%
254 1
< 0.1%
251 1
< 0.1%
248 1
< 0.1%
245 1
< 0.1%

771
Real number (ℝ)

Zeros 

Distinct245
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.1605
Minimum0
Maximum255
Zeros3346
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:33.718933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q394
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)94

Descriptive statistics

Standard deviation66.85337914
Coefficient of variation (CV)1.448281087
Kurtosis0.01554632844
Mean46.1605
Median Absolute Deviation (MAD)0
Skewness1.172827892
Sum276963
Variance4469.374302
MonotonicityNot monotonic
2025-03-21T22:40:33.786608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3346
55.8%
2 69
 
1.1%
1 69
 
1.1%
3 42
 
0.7%
123 28
 
0.5%
130 26
 
0.4%
4 21
 
0.4%
71 21
 
0.4%
128 20
 
0.3%
120 20
 
0.3%
Other values (235) 2338
39.0%
ValueCountFrequency (%)
0 3346
55.8%
1 69
 
1.1%
2 69
 
1.1%
3 42
 
0.7%
4 21
 
0.4%
ValueCountFrequency (%)
255 1
< 0.1%
250 1
< 0.1%
248 2
< 0.1%
247 1
< 0.1%
245 2
< 0.1%

772
Real number (ℝ)

Zeros 

Distinct245
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.81266667
Minimum0
Maximum255
Zeros3184
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:33.853781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3105
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation68.64540241
Coefficient of variation (CV)1.350950598
Kurtosis-0.4015900573
Mean50.81266667
Median Absolute Deviation (MAD)0
Skewness1.003016912
Sum304876
Variance4712.191271
MonotonicityNot monotonic
2025-03-21T22:40:33.921572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3184
53.1%
1 74
 
1.2%
2 53
 
0.9%
3 41
 
0.7%
125 29
 
0.5%
145 23
 
0.4%
126 23
 
0.4%
117 22
 
0.4%
106 22
 
0.4%
4 22
 
0.4%
Other values (235) 2507
41.8%
ValueCountFrequency (%)
0 3184
53.1%
1 74
 
1.2%
2 53
 
0.9%
3 41
 
0.7%
4 22
 
0.4%
ValueCountFrequency (%)
255 2
< 0.1%
248 1
< 0.1%
244 2
< 0.1%
243 2
< 0.1%
242 2
< 0.1%

773
Real number (ℝ)

Zeros 

Distinct244
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.976
Minimum0
Maximum255
Zeros3215
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:33.989728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q395
95-th percentile183
Maximum255
Range255
Interquartile range (IQR)95

Descriptive statistics

Standard deviation65.68957003
Coefficient of variation (CV)1.398364485
Kurtosis-0.1275894412
Mean46.976
Median Absolute Deviation (MAD)0
Skewness1.106925681
Sum281856
Variance4315.119611
MonotonicityNot monotonic
2025-03-21T22:40:34.057837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3215
53.6%
1 86
 
1.4%
2 65
 
1.1%
3 46
 
0.8%
116 26
 
0.4%
117 24
 
0.4%
175 24
 
0.4%
106 23
 
0.4%
75 23
 
0.4%
91 22
 
0.4%
Other values (234) 2446
40.8%
ValueCountFrequency (%)
0 3215
53.6%
1 86
 
1.4%
2 65
 
1.1%
3 46
 
0.8%
4 19
 
0.3%
ValueCountFrequency (%)
255 2
< 0.1%
250 1
< 0.1%
249 1
< 0.1%
247 1
< 0.1%
245 1
< 0.1%

774
Real number (ℝ)

Zeros 

Distinct230
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.69766667
Minimum0
Maximum247
Zeros3532
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:34.125098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q359
95-th percentile166
Maximum247
Range247
Interquartile range (IQR)59

Descriptive statistics

Standard deviation57.05712793
Coefficient of variation (CV)1.64440821
Kurtosis1.192876191
Mean34.69766667
Median Absolute Deviation (MAD)0
Skewness1.541905532
Sum208186
Variance3255.515847
MonotonicityNot monotonic
2025-03-21T22:40:34.191120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3532
58.9%
1 122
 
2.0%
2 87
 
1.5%
3 57
 
0.9%
4 32
 
0.5%
94 23
 
0.4%
8 20
 
0.3%
19 20
 
0.3%
34 20
 
0.3%
86 20
 
0.3%
Other values (220) 2067
34.4%
ValueCountFrequency (%)
0 3532
58.9%
1 122
 
2.0%
2 87
 
1.5%
3 57
 
0.9%
4 32
 
0.5%
ValueCountFrequency (%)
247 1
< 0.1%
245 1
< 0.1%
240 1
< 0.1%
238 1
< 0.1%
235 1
< 0.1%

775
Real number (ℝ)

Zeros 

Distinct229
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.59566667
Minimum0
Maximum236
Zeros4160
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:34.258064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile149
Maximum236
Range236
Interquartile range (IQR)8

Descriptive statistics

Standard deviation49.38538583
Coefficient of variation (CV)2.0929854
Kurtosis3.789046995
Mean23.59566667
Median Absolute Deviation (MAD)0
Skewness2.180038193
Sum141574
Variance2438.916334
MonotonicityNot monotonic
2025-03-21T22:40:34.323277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4160
69.3%
1 118
 
2.0%
2 80
 
1.3%
3 46
 
0.8%
4 40
 
0.7%
104 20
 
0.3%
5 20
 
0.3%
26 17
 
0.3%
6 17
 
0.3%
43 16
 
0.3%
Other values (219) 1466
 
24.4%
ValueCountFrequency (%)
0 4160
69.3%
1 118
 
2.0%
2 80
 
1.3%
3 46
 
0.8%
4 40
 
0.7%
ValueCountFrequency (%)
236 1
< 0.1%
233 1
< 0.1%
231 2
< 0.1%
229 1
< 0.1%
228 1
< 0.1%

776
Real number (ℝ)

Zeros 

Distinct220
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.57033333
Minimum0
Maximum243
Zeros4660
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:34.388497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile125
Maximum243
Range243
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.06883666
Coefficient of variation (CV)2.538804489
Kurtosis7.322363911
Mean16.57033333
Median Absolute Deviation (MAD)0
Skewness2.810620233
Sum99422
Variance1769.787018
MonotonicityNot monotonic
2025-03-21T22:40:34.458596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4660
77.7%
1 77
 
1.3%
3 43
 
0.7%
2 40
 
0.7%
4 19
 
0.3%
12 17
 
0.3%
22 15
 
0.2%
37 14
 
0.2%
50 14
 
0.2%
10 14
 
0.2%
Other values (210) 1087
 
18.1%
ValueCountFrequency (%)
0 4660
77.7%
1 77
 
1.3%
2 40
 
0.7%
3 43
 
0.7%
4 19
 
0.3%
ValueCountFrequency (%)
243 1
< 0.1%
238 1
< 0.1%
234 1
< 0.1%
230 2
< 0.1%
229 1
< 0.1%

777
Real number (ℝ)

Zeros 

Distinct220
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.64533333
Minimum0
Maximum249
Zeros4593
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:34.526487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile129
Maximum249
Range249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.1652339
Coefficient of variation (CV)2.446269112
Kurtosis6.585591466
Mean17.64533333
Median Absolute Deviation (MAD)0
Skewness2.686225094
Sum105872
Variance1863.237418
MonotonicityNot monotonic
2025-03-21T22:40:34.594443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4593
76.5%
1 77
 
1.3%
2 37
 
0.6%
3 27
 
0.4%
4 17
 
0.3%
10 16
 
0.3%
8 15
 
0.2%
12 15
 
0.2%
5 14
 
0.2%
23 14
 
0.2%
Other values (210) 1175
 
19.6%
ValueCountFrequency (%)
0 4593
76.5%
1 77
 
1.3%
2 37
 
0.6%
3 27
 
0.4%
4 17
 
0.3%
ValueCountFrequency (%)
249 1
< 0.1%
235 2
< 0.1%
233 1
< 0.1%
230 1
< 0.1%
229 2
< 0.1%

778
Real number (ℝ)

Zeros 

Distinct234
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.57533333
Minimum0
Maximum249
Zeros4510
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:34.853191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile155
Maximum249
Range249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.5047776
Coefficient of variation (CV)2.281462552
Kurtosis4.108082729
Mean22.57533333
Median Absolute Deviation (MAD)0
Skewness2.2868464
Sum135452
Variance2652.742115
MonotonicityNot monotonic
2025-03-21T22:40:34.922373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4510
75.2%
1 111
 
1.8%
2 60
 
1.0%
3 31
 
0.5%
4 22
 
0.4%
5 17
 
0.3%
21 13
 
0.2%
141 12
 
0.2%
67 12
 
0.2%
68 12
 
0.2%
Other values (224) 1200
 
20.0%
ValueCountFrequency (%)
0 4510
75.2%
1 111
 
1.8%
2 60
 
1.0%
3 31
 
0.5%
4 22
 
0.4%
ValueCountFrequency (%)
249 1
< 0.1%
247 1
< 0.1%
245 1
< 0.1%
244 1
< 0.1%
243 1
< 0.1%

779
Real number (ℝ)

Zeros 

Distinct229
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.02416667
Minimum0
Maximum255
Zeros4637
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:34.989444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile137
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.30967237
Coefficient of variation (CV)2.513828972
Kurtosis6.443835579
Mean18.02416667
Median Absolute Deviation (MAD)0
Skewness2.687582845
Sum108145
Variance2052.96641
MonotonicityNot monotonic
2025-03-21T22:40:35.057607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4637
77.3%
1 134
 
2.2%
2 52
 
0.9%
3 48
 
0.8%
4 15
 
0.2%
74 12
 
0.2%
40 12
 
0.2%
67 12
 
0.2%
38 12
 
0.2%
12 12
 
0.2%
Other values (219) 1054
 
17.6%
ValueCountFrequency (%)
0 4637
77.3%
1 134
 
2.2%
2 52
 
0.9%
3 48
 
0.8%
4 15
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
246 1
< 0.1%
237 1
< 0.1%
235 1
< 0.1%
231 1
< 0.1%

780
Real number (ℝ)

Zeros 

Distinct192
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.619166667
Minimum0
Maximum250
Zeros5163
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:35.126508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile70
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.88096291
Coefficient of variation (CV)3.466804167
Kurtosis19.2931135
Mean8.619166667
Median Absolute Deviation (MAD)0
Skewness4.239838004
Sum51715
Variance892.8719446
MonotonicityNot monotonic
2025-03-21T22:40:35.196554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5163
86.1%
1 79
 
1.3%
3 26
 
0.4%
2 24
 
0.4%
4 15
 
0.2%
34 12
 
0.2%
53 11
 
0.2%
30 10
 
0.2%
21 10
 
0.2%
16 10
 
0.2%
Other values (182) 640
 
10.7%
ValueCountFrequency (%)
0 5163
86.1%
1 79
 
1.3%
2 24
 
0.4%
3 26
 
0.4%
4 15
 
0.2%
ValueCountFrequency (%)
250 1
< 0.1%
240 1
< 0.1%
235 1
< 0.1%
231 1
< 0.1%
219 1
< 0.1%

781
Real number (ℝ)

Zeros 

Distinct130
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.599
Minimum0
Maximum239
Zeros5705
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:35.264770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum239
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.6143273
Coefficient of variation (CV)6.392584571
Kurtosis77.51379148
Mean2.599
Median Absolute Deviation (MAD)0
Skewness8.275783728
Sum15594
Variance276.0358716
MonotonicityNot monotonic
2025-03-21T22:40:35.333245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5705
95.1%
1 35
 
0.6%
2 15
 
0.2%
8 7
 
0.1%
5 7
 
0.1%
4 6
 
0.1%
31 6
 
0.1%
19 5
 
0.1%
33 5
 
0.1%
18 5
 
0.1%
Other values (120) 204
 
3.4%
ValueCountFrequency (%)
0 5705
95.1%
1 35
 
0.6%
2 15
 
0.2%
3 4
 
0.1%
4 6
 
0.1%
ValueCountFrequency (%)
239 1
< 0.1%
218 1
< 0.1%
217 1
< 0.1%
209 1
< 0.1%
208 1
< 0.1%

782
Real number (ℝ)

Zeros 

Distinct62
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7615
Minimum0
Maximum205
Zeros5898
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:35.400528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum205
Range205
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.462715522
Coefficient of variation (CV)11.11321802
Kurtosis254.8351372
Mean0.7615
Median Absolute Deviation (MAD)0
Skewness14.68989887
Sum4569
Variance71.61755401
MonotonicityNot monotonic
2025-03-21T22:40:35.468288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5898
98.3%
1 16
 
0.3%
2 5
 
0.1%
4 5
 
0.1%
3 4
 
0.1%
50 3
 
0.1%
20 3
 
0.1%
14 2
 
< 0.1%
44 2
 
< 0.1%
13 2
 
< 0.1%
Other values (52) 60
 
1.0%
ValueCountFrequency (%)
0 5898
98.3%
1 16
 
0.3%
2 5
 
0.1%
3 4
 
0.1%
4 5
 
0.1%
ValueCountFrequency (%)
205 1
< 0.1%
192 1
< 0.1%
188 1
< 0.1%
174 1
< 0.1%
146 1
< 0.1%

783
Real number (ℝ)

Skewed  Zeros 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06283333333
Minimum0
Maximum81
Zeros5978
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:35.520025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.635440129
Coefficient of variation (CV)26.02822487
Kurtosis1468.165586
Mean0.06283333333
Median Absolute Deviation (MAD)0
Skewness35.7877654
Sum377
Variance2.674664416
MonotonicityNot monotonic
2025-03-21T22:40:35.570819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5978
99.6%
1 5
 
0.1%
2 3
 
0.1%
8 2
 
< 0.1%
13 2
 
< 0.1%
19 1
 
< 0.1%
45 1
 
< 0.1%
23 1
 
< 0.1%
60 1
 
< 0.1%
81 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 5978
99.6%
1 5
 
0.1%
2 3
 
0.1%
6 1
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
81 1
< 0.1%
60 1
< 0.1%
45 1
< 0.1%
39 1
< 0.1%
24 1
< 0.1%

label
Real number (ℝ)

Zeros 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.466333333
Minimum0
Maximum9
Zeros597
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size52.7 KiB
2025-03-21T22:40:35.617027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.857602877
Coefficient of variation (CV)0.6398095852
Kurtosis-1.204604961
Mean4.466333333
Median Absolute Deviation (MAD)2
Skewness0.0192400283
Sum26798
Variance8.165894205
MonotonicityNot monotonic
2025-03-21T22:40:35.659905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 627
10.4%
5 621
10.3%
6 619
10.3%
2 611
10.2%
1 608
10.1%
0 597
10.0%
9 590
9.8%
8 590
9.8%
3 587
9.8%
7 550
9.2%
ValueCountFrequency (%)
0 597
10.0%
1 608
10.1%
2 611
10.2%
3 587
9.8%
4 627
10.4%
ValueCountFrequency (%)
9 590
9.8%
8 590
9.8%
7 550
9.2%
6 619
10.3%
5 621
10.3%